Accelerate Your Security Copilot Readiness with Our Global Technical Workshop Series
The Security Copilot team is delivering virtual hands-on technical workshops designed for technical practitioners who want to deepen their AI for Security expertise with Microsoft Entra, Intune, Microsoft Purview, and Microsoft Threat Protection. These workshops will help you onboard and configure Security Copilot and deepen your knowledge on agents. These free workshops are delivered year-round and available in multiple time zones. What You’ll Learn Our workshop series combines scenario-based instruction, live demos, hands-on exercises, and expert Q&A to help you operationalize Security Copilot across your security stack. These sessions are all moderated by experts from Microsoft’s engineering teams and are aligned with the latest Security Copilot capabilities. Every session delivers 100% technical content, designed to accelerate real-world Security Copilot adoption. Who Should Attend These workshops are ideal for: Security Architects & Engineers SOC Analysts Identity & Access Management Engineers Endpoint & Device Admins Compliance & Risk Practitioners Partner Technical Consultants Customer technical teams adopting AI powered defense Register now for these upcoming Security Copilot Virtual Workshops Start building Security Copilot skills—choose the product area and time zone that works best for you. Please take note of pre-requisites for each workshop in the registration page Security Copilot Virtual Workshop: Copilot in Defender March 4, 2026 at 8:00-9:00 AM (PST) - register here Asia Pacific optimized delivery schedules Time conversion: 4:00-5:30 PM NZDT; 11:00-12:30 AM GMT +8; 8:30-10:00 AM IST; 7:00-8:30 PM PST March 5, 2026 at 2:00-3:30 PM (AEDT) - register here Security Copilot Virtual Workshop: Copilot in Entra February 25, 2026 at 8:00 - 9:30 AM (PST) - register here Asia Pacific optimized delivery schedules Time conversion: 4:00-5:30 PM NZDT; 11:00-12:30 AM GMT +8; 8:30-10:00 AM IST; 7:00-8:30 PM PST February 26, 2026 at 2:00-3:30 PM (AEDT) - register here March 26, 2026 at 2:00-3:30 PM (AEDT) - register here Security Copilot Virtual Workshop: Copilot in Intune March 11, 2026 at 8:00-9:30 AM (PST) - register here Asia Pacific optimized delivery schedules Time conversion: 4:00-5:30 PM NZDT; 11:00-12:30 AM GMT +8; 8:30-10:00 AM IST; 7:00-8:30 PM PST March 12, 2026 at 2:00-3:30 PM (AEDT) - register here April 9, 2026 at 2:00 - 3:30 PM AEDT Security Copilot Virtual Workshop: Copilot in Purview March 18, 2026 8:00 - 9:30 AM (PST) - register here Asia Pacific optimized delivery schedules Time conversion: 4:00-5:30 PM NZDT; 11:00-12:30 AM GMT +8; 8:30-10:00 AM IST; 7:00-8:30 PM PST March 19, 2026 2:00-3:30 PM (AEDT)- register here Learn and Engage with the Microsoft Security Community Log in and follow this Microsoft Security Community Blog and post/ interact in the Microsoft Security Community discussion spaces. Follow = Click the heart in the upper right when you're logged in 🤍 Join the Microsoft Security Community and be notified of upcoming events, product feedback surveys, and more. Get early access to Microsoft Security products and provide feedback to engineers by joining the Microsoft Security Advisors.. Learn about the Microsoft MVP Program. Join the Microsoft Security Community LinkedIn and the Microsoft Entra Community LinkedInIntroducing Security Dashboard for AI (Now in Public Preview)
AI proliferation in the enterprise, combined with the emergence of AI governance committees and evolving AI regulations, leaves CISOs and AI risk leaders needing a clear view of their AI risks, such as data leaks, model vulnerabilities, misconfigurations, and unethical agent actions across their entire AI estate, spanning AI platforms, apps, and agents. 53% of security professionals say their current AI risk management needs improvement, presenting an opportunity to better identify, assess and manage risk effectively. 1 At the same time, 86% of leaders prefer integrated platforms over fragmented tools, citing better visibility, fewer alerts and improved efficiency. 2 To address these needs, we are excited to announce the Security Dashboard for AI, previously announced at Microsoft Ignite, is available in public preview. This unified dashboard aggregates posture and real-time risk signals from Microsoft Defender, Microsoft Entra, and Microsoft Purview - enabling users to see left-to-right across purpose-built security tools from within a single pane of glass. The dashboard equips CISOs and AI risk leaders with a governance tool to discover agents and AI apps, track AI posture and drift, and correlate risk signals to investigate and act across their entire AI ecosystem. Security teams can continue using the tools they trust while empowering security leaders to govern and collaborate effectively. Gain Unified AI Risk Visibility Consolidating risk signals from across purpose-built tools can simplify AI asset visibility and oversight, increase security teams’ efficiency, and reduce the opportunity for human error. The Security Dashboard for AI provides leaders with unified AI risk visibility by aggregating security, identity, and data risk across Defender, Entra, Purview into a single interactive dashboard experience. The Overview tab of the dashboard provides users with an AI risk scorecard, providing immediate visibility to where there may be risks for security teams to address. It also assesses an organization's implementation of Microsoft security for AI capabilities and provides recommendations for improving AI security posture. The dashboard also features an AI inventory with comprehensive views to support AI assets discovery, risk assessments, and remediation actions for broad coverage of AI agents, models, MCP servers, and applications. The dashboard provides coverage for all Microsoft AI solutions supported by Entra, Defender and Purview—including Microsoft 365 Copilot, Microsoft Copilot Studio agents, and Microsoft Foundry applications and agents—as well as third-party AI models, applications, and agents, such as Google Gemini, OpenAI ChatGPT, and MCP servers. This supports comprehensive visibility and control, regardless of where applications and agents are built. Prioritize Critical Risk with Security Copilots AI-Powered Insights Risk leaders must do more than just recognize existing risks—they also need to determine which ones pose the greatest threat to their business. The dashboard provides a consolidated view of AI-related security risks and leverages Security Copilot’s AI-powered insights to help find the most critical risks within an environment. For example, Security Copilot natural language interaction improves agent discovery and categorization, helping leaders identify unmanaged and shadow AI agents to enhance security posture. Furthermore, Security Copilot allows leaders to investigate AI risks and agent activities through prompt-based exploration, putting them in the driver’s seat for additional risk investigation. Drive Risk Mitigation By streamlining risk mitigation recommendations and automated task delegation, organizations can significantly improve the efficiency of their AI risk management processes. This approach can reduce the potential hidden AI risk and accelerate compliance efforts, helping to ensure that risk mitigation is timely and accurate. To address this, the Security Dashboard for AI evaluates how organizations put Microsoft’s AI security features into practice and offers tailored suggestions to strengthen AI security posture. It leverages Microsoft’s productivity tools for immediate action within the practitioner portal, making it easy for administrators to delegate recommendation tasks to designated users. With the Security Dashboard for AI, CISOs and risk leaders gain a clear, consolidated view of AI risks across agents, apps, and platforms—eliminating fragmented visibility, disconnected posture insights, and governance gaps as AI adoption scales. Best of all, the Security Dashboard for AI is included with eligible Microsoft security products customers already use. If an organization is already using Microsoft security products to secure AI, they are already a Security Dashboard for AI customer. Getting Started Existing Microsoft Security customers can start using Security Dashboard for AI today. It is included when a customer has the Microsoft Security products—Defender, Entra and Purview—with no additional licensing required. To begin using the Security Dashboard for AI, visit http://ai.security.microsoft.com or access the dashboard from the Defender, Entra or Purview portals. Learn more about the Security Dashboard for AI at Microsoft Security MS Learn. 1AuditBoard & Ascend2 Research. The Connected Risk Report: Uniting Teams and Insights to Drive Organizational Resilience. AuditBoard, October 2024. 2Microsoft. 2026 Data Security Index: Unifying Data Protection and AI Innovation. Microsoft Security, 2026Announcing AI Entity Analyzer in Microsoft Sentinel MCP Server - Public Preview
What is the Entity Analyzer? Assessing the risk of entities is a core task for SOC teams - whether triaging incidents, investigating threats, or automating response workflows. Traditionally, this has required building complex playbooks or custom logic to gather and analyze fragmented security data from multiple sources. With Entity Analyzer, this complexity starts to fade away. The tool leverages your organization’s security data in Sentinel to deliver comprehensive, reasoned risk assessments for any entity you encounter - starting with users and urls. By providing this unified, out-of-the-box solution for entity analysis, Entity Analyzer also enables the AI agents you build to make smarter decisions and automate more tasks - without the need to manually engineer risk evaluation logic for each entity type. And for those building SOAR workflows, Entity Analyzer is natively integrated with Logic Apps, making it easy to enrich incidents and automate verdicts within your playbooks. *Entity Analyzer is rolling out in Public Preview to Sentinel MCP server and within Logic Apps starting today. Learn more here. **Leave feedback on the Entity Analyzer here. Deep Dive: How the User Analyzer is already solving problems for security teams Problem: Drowning in identity alerts Security operations centers (SOCs) are inundated with identity-based threats and alert noise. Triaging these alerts requires analyzing numerous data sources across sign-in logs, cloud app events, identity info, behavior analytics, threat intel, and more, all in tandem with each other to reach a verdict - something very challenging to do without a human in the loop today. So, we introduced the User Analyzer, a specialized analyzer that unifies, correlates, and analyzes user activity across all these security data sources. Government of Nunavut: solving identity alert overload with User Analyzer Hear the below from Arshad Sheikh, Security Expert at Government of Nunavut, on how they're using the User Analyzer today: How it's making a difference "Before the User Analyzer, when we received identity alerts we had to check a large amount of data related to users’ activity (user agents, anomalies, IP reputation, etc.). We had to write queries, wait for them to run, and then manually reason over the results. We attempted to automate some of this, but maintaining and updating that retrieval, parsing, and reasoning automation was difficult and we didn’t have the resources to support it. With the User Analyzer, we now have a plug-and-play solution that represents a step toward the AI-driven automation of the future. It gathers all the context such as what the anomalies are and presents it to our analysts so they can make quick, confident decisions, eliminating the time previously spent manually gathering this data from portals." Solving a real problem "For example, every 24 hours we create a low severity incident of our users who successfully sign-in to our network non interactively from outside of our GEO fence. This type of activity is not high-enough fidelity to auto-disable, requiring us to manually analyze the flagged users each time. But with User Analyzer, this analysis is performed automatically. The User Analyzer has also significantly reduced the time required to determine whether identity-based incidents like these are false positives or true positives. Instead of spending around 20 minutes investigating each incident, our analysts can now reach a conclusion in about 5 minutes using the automatically generated summary." Looking ahead "Looking ahead, we see even more potential. In the future, the User Analyzer could be integrated directly with Microsoft Sentinel playbooks to take automated, definitive action such as blocking user or device access based on the analyzer’s results. This would further streamline our incident response and move us closer to fully automated security operations." Want similar benefits in your SOC? Get started with our Entity Analyzer Logic Apps template here. User Analyzer architecture: how does it work? Let’s take a look at how the User Analyzer works. The User Analyzer aggregates and correlates signals from multiple data sources to deliver a comprehensive analysis, enabling informed actions based on user activity. The diagram below gives an overview of this architecture: Step 1: Retrieve Data The analyzer starts by retrieving relevant data from the following sources: Sign-In Logs (Interactive & Non-Interactive): Tracks authentication and login activity. Security Alerts: Alerts from Microsoft Defender solutions. Behavior Analytics: Surfaces behavioral anomalies through advanced analytics. Cloud App Events: Captures activity from Microsoft Defender for Cloud Apps. Identity Information: Enriches user context with identity records. Microsoft Threat Intelligence: Enriches IP addresses with Microsoft Threat Intelligence. Steps 2: Correlate signals Signals are correlated using identifiers such as user IDs, IP addresses, and threat intelligence. Rather than treating each alert or behavior in isolation, the User Analyzer fuses signals to build a holistic risk profile. Step 3: AI-based reasoning In the User Analyzer, multiple AI-powered agents collaborate to evaluate the evidence and reach consensus. This architecture not only improves accuracy and reduces bias in verdicts, but also provides transparent, justifiable decisions. Leveraging AI within the User Analyzer introduces a new dimension of intelligence to threat detection. Instead of relying on static signatures or rigid regex rules, AI-based reasoning can uncover subtle anomalies that traditional detection methods and automation playbooks often miss. For example, an attacker might try to evade detection by slightly altering a user-agent string or by targeting and exfiltrating only a few files of specific types. While these changes could bypass conventional pattern matching, an AI-powered analyzer understands the semantic context and behavioral patterns behind these artifacts, allowing it to flag suspicious deviations even when the syntax looks benign. Step 4: Verdict & analysis Each user is given a verdict. The analyzer outputs any of the following verdicts based on the analysis: Compromised Suspicious activity found No evidence of compromise Based on the verdict, a corresponding recommendation is given. This helps teams make an informed decision whether action should be taken against the user. *AI-generated content from the User Analyzer may be incorrect - check it for accuracy. User Analyzer Example Output See the following example output from the user analyzer within an incident comment: *IP addresses have been redacted for this blog* &CK techniques, a list of malicious IP addresses the user signed in from (redacted for this blog), and a few suspicious user agents the user's activity originated from. typically have to query and analyze these themselves, feel more comfortable trusting its classification. The analyzer also gives recommendations to remediate the account compromise, and a list of data sources it used during analysis. Conclusion Entity Analyzer in Microsoft Sentinel MCP server represents a leap forward in alert triage & analysis. By correlating signals and harnessing AI-based reasoning, it empowers SOC teams to act on investigations with greater speed, precision, and confidence. *Leave feedback on the Entity Analyzer hereFake Employees, Real Threat: Decentralized Identity to combat Deepfake Hiring?
In recent months, cybersecurity experts have sounded the alarm on a surge of fake “employees” – job candidates who are not who they claim to be. These fraudsters use everything from fabricated CVs and stolen identities to AI-generated deepfake videos in interviews to land jobs under false pretenses. It’s a global phenomenon making headlines on LinkedIn and in the press. With the topic surfacing everywhere, I wanted to take a closer look at what’s really going on — and explore the solutions that could help organizations respond to this growing challenge. And as it happens, one solution is finally reaching maturity at exactly the right moment: decentralized identity. Let me walk you through it. But first, let’s look at a few troubling facts: Even tech giants aren’t immune. Amazon’s Chief Security Officer revealed that since April 2024 the company has blocked over 1,800 suspected North Korean scammers from getting hired, and that the volume of such fake applicants jumped 27% each quarter this year (1.1). In fact, a coordinated scheme involving North Korean IT operatives posing as remote workers has infiltrated over 300 U.S. companies since 2020, generating at least $6.8 million in revenue for the regime (2.1). CrowdStrike also reported more than 320 confirmed incidents in the past year alone, marking a 220% surge in activity (2.2). And it’s not just North Korea: organised crime groups globally are adopting similar tactics. This trend is not a small blip; it’s likely a sign of things to come. Gartner predicts that by 2028, one in four job applicant profiles could be fake in some way (3). Think about that – in a few years, 25% of the people applying to your jobs might be bots or impostors trying to trick their way in. We’re not just talking about exaggerated resumes; we’re talking about full-scale deception: people hiring stand-ins for interviews, AI bots filling out assessments, and deepfake avatars smiling through video calls. It’s a hiring manager’s nightmare — no one wants to waste time interviewing bots or deepfakes — and a CISO’s worst-case scenario rolled into one. The Rise of the Deepfake Employee What does a “fake employee” actually do? In many cases, these impostors are part of organized schemes (even state-sponsored) to steal money or data. They might forge impressive résumés and create a minimal but believable online presence. During remote interviews, some have been caught using deepfake video filters – basically digital masks – to appear as someone else. In one case, Amazon investigators noticed an interviewee’s typing did not sync with the on-screen video (the keystrokes had a 110ms lag); it turned out to be a North Korean hacker remotely controlling a fake persona on the video call (1.2). Others refuse video entirely, claiming technical issues, so you only hear a voice. Some even hire proxy interviewees – a real person who interviews in their place. The level of creativity is frightening. Once inside, a fake employee can do serious damage. They gain legitimate access to internal systems, data, and tools. Some have stolen sensitive source code and threatened to leak it unless the company paid a ransom (1). Others quietly set up backdoor access for future cyberattacks. And as noted, if they’re part of a nation-state operation, the salary you pay them is funding adversaries. The U.S. Department of Justice recently warned that many North Korean IT workers send the majority of their pay back to the regime’s illicit weapons programs (1)(2.3). Beyond the financial angle, think of the security breach: a malicious actor is now an “insider” with an access badge. No sector is safe. While tech companies with lots of remote jobs were the first targets, the scam has expanded. According to the World Economic Forum, about half of the companies targeted by these attacks aren’t in the tech industry at all (4). Financial services, healthcare, media, energy – any business that hires remote freelancers or IT staff could be at risk. Many Fortune 500 firms have quietly admitted to Charles Carmakal (Chief Technology Officer at Google Cloud’s Mandiant) that they’ve encountered fake candidates (2.3). Brandon Wales — former Executive Director of the Cybersecurity and Infrastructure Security Agency (CISA) and now VP of Cybersecurity Strategy at SentinelOne — warned that the “scale and speed” of these operations is unlike anything seen before (2.3). Rivka Little, Chief Growth Officer at Socure, put it bluntly: “Every Fortune 100 and potentially Fortune 500 has a pretty high number of risky employees on their books” right now (1). If you’re in charge of security or IT, this should send a chill down your spine. How do you defend against an attack that walks in through your front door (virtually) with HR’s approval? It calls for rethinking some fundamental practices, which leads us to the biggest gap these scams have exposed: identity verification in the hiring process. The Identity Verification Gap in Hiring Let’s face it: traditional hiring and onboarding operate on a lot of trust. You collect a résumé, maybe call some references, do a background check that might catch a criminal record but won’t catch a well-crafted fake identity. You might ask for a copy of a driver’s license or passport to satisfy HR paperwork, but how thoroughly is it checked? And once the person is hired and given an employee account, how often do we re-confirm that person’s identity in the months or years that follow? Almost never. Now let’s look at the situation from the reverse perspective: During your last recruitment, or when you became a new vendor for a client, were you asked to send over a full copy of your ID via email? Most likely, yes. You send a scan of your passport or ID card to an HR representative or a partner’s portal, and you have no idea where that image gets stored, who can see it, or how long it will sit around. It feels uncomfortable, but we do it because we need to prove who we are. In reality, we’re making a leap of faith that the process is secure. This is the identity verification gap. Companies are trusting documents and self-assertions that can be forged, and they rarely have a way to verify those beyond a cursory glance. Fraudsters exploit this gap mercilessly. They provide fake documents that look real, or steal someone else’s identity details to pass background checks. Once they’ve cleared that initial hurdle, the organization treats them as legit. IT sets up accounts, security gives them access, and from then on the “user identity” is assumed to be genuine. Forever. Moreover, once an employee is on board, internal processes often default to trust. Need a password reset? The helpdesk might ask for your birthdate or employee ID – pieces of info a savvy attacker can learn or steal. We don’t usually ask an employee who calls IT to re-prove that they are the same person HR hired months or years ago. All of this stands in contrast to the principle of Zero Trust security that many companies are now adopting. Thanks to John Kindervag (Forrester, 2009), Zero Trust says “never trust, always verify” each access request. But how can you verify if the underlying identity was fake to start with? As part of Microsoft, we often say that “identity is the new perimeter” – meaning the primary defense line is verifying identities, not just securing network walls. If that identity perimeter is built on shaky ground (unverified people), the whole security model is weak. So, what can be done? Security leaders and even the World Economic Forum are advocating for stronger identity proofing in hiring. The WEF specifically recommends “verifiable government ID checks at multiple stages of recruitment and into employment” (4). In other words, don’t just verify once and forget it – verify early, verify often. That might mean an ID and background check when offering the job, another verification during onboarding, and perhaps periodic re-checks or at least on certain events (like when the employee requests elevated privileges). Amazon’s CSO, S. Schmidt, echoed this after battling North Korean fakes; he advised companies to “Implement identity verification at multiple hiring stages and monitor for anomalous technical behavior” as a key defense (1). Of course, doing this manually is tough. You can’t very well ask each candidate to fly in their first day just to show their passport in person, especially with global and remote workforces. That’s where technology is stepping up. Enter the world of Verified ID and decentralized identity. Enter Microsoft Entra Verified ID: proving Identity, not just Checking a Box Imagine if, instead of emailing copies of your passport to every new employer or partner, you could carry a digital identity credential that is already verified and can be trusted by others instantly. That’s the idea behind Microsoft Entra Verified ID. It’s essentially a system for issuing and verifying cryptographically-secure digital identity credentials. Let’s break down what that means in plain terms. At its core, a Verified ID credential is like a digital ID card that lives in an app on your phone. But unlike a photocopy of your driver’s license (which anyone could copy, steal or tamper with), this digital credential is signed with cryptographic keys that make it tamper-proof and verifiable. It’s based on open standards. Microsoft has been heavily involved in the development of Decentralized Identifiers (DID) and W3C Verifiable Credentials standards over the past few years (7). The benefit of standards is that this isn’t a proprietary Microsoft-only thing – it’s part of a broader move toward decentralized identity, where the user is in control of their own credentials. Here’s a real-life analogy: When you go to a bar and need to prove you’re over 18, you show your driver’s license, National ID or Passport. The bouncer checks your birth date and maybe the hologram, but they don’t photocopy your entire ID and keep it; they just verify it and hand it back. You remain in possession of your ID. Now translate that to digital interactions: with Verified ID, you could have a credential on your phone that says “Government ID verified: [Your Name], age 25”. When a verifier (like an employer or service) needs proof, you share that credential through a secure app. The verifier’s system checks the credential’s digital signature to confirm it was issued by a trusted authority (for example, a background check company or a government agency) and that it hasn’t been altered. You don’t have to send over a scan of your actual passport or reveal extra info like your full birthdate or address – the credential can be designed to reveal only the necessary facts (e.g. “is over 18” = yes). This concept is called selective disclosure, and it’s a big win for privacy. Crucially, you decide which credentials to share and with whom. You might have one that proves your legal name and age (from a government issuer), another that proves your employment status (from your employer), another that proves a certification or degree (from a university). And you only share them when needed. They can also have expiration dates or be revoked. For instance, an employment credential could automatically expire when you leave the company. This means if someone tries to use an old credential, it would fail verification – another useful security feature. Now, how do these credentials get issued in the first place? This is where the integration of our Microsoft Partner IDEMIA comes in, which was a highlight of Microsoft Ignite 2025. IDEMIA is a company you might not have heard of, but they’re a huge player in the identity world – they’re the folks behind many government ID and biometric systems (think passport chips, national ID programs, biometric border control, etc.). Microsoft announced that Entra Verified ID now integrate IDEMIA’s identity verification services. In practice, this means when you need a high-assurance credential (like proving your real identity for a job), the system can invoke IDEMIA to do a thorough check. For example, as part of a remote onboarding process, an employer using Verified ID could ask the new hire to verify their identity through IDEMIA. The new hire gets a link or prompt, and is guided to scan their official government ID and take a live selfie video. IDEMIA’s system checks that the ID is authentic (not a forgery) and matches the person’s face, doing so in a privacy-protecting way (for instance, biometric data might be used momentarily to match and then not stored long-term, depending on the service policies). This process confirms “Yes, this is Alice, and we’ve confirmed her identity with a passport and live face check.” At that point, Microsoft Entra Verified ID can issue a credential to Alice, such as “Alice – identity verified by Contoso Corp on [Date]”. Alice stores this credential in her digital wallet (for instance, the Microsoft Authenticator app). Now Alice can present that credential to apps or IT systems to prove it’s really Alice. The employer might require it to activate her accounts, or later if Alice calls IT support, they might ask her to present the credential to prove her identity for a password reset. The verification of the credential is cryptographically secure and instantaneous – the IT system just checks the digital signature. There’s no need to manually pull up Alice’s passport scan from HR files or interrogate her with personal questions. Plus, Alice isn’t repeatedly sending sensitive personal documents; she shared them once with a trusted verifier (IDEMIA via the Verified ID app flow), not with every individual who asks for ID. This reduces the exposure of her personal data. From the company’s perspective, this approach dramatically improves security and streamlines processes. During onboarding, it’s actually faster to have someone go through an automated ID verification flow than to coordinate an in-person verification or trust slow manual checks. Organizations also avoid collecting and storing piles of personal documents, which is a compliance headache and a breach risk. Instead, they get a cryptographic assurance. Think of it like the difference between keeping copies of everyone’s credit card versus using a payment token – the latter is safer and just as effective for the transaction. Microsoft has been laying the groundwork for this for years. Back in 2020 (and even 2017....), Microsoft discussed decentralized identity concepts where users own their identity data and apps verify facts about you through digital attestations (7). Now it’s reality: Entra Verified ID uses those open standards (DID and Verifiable Credentials) under the hood. Plus, the integration with IDEMIA and others means it’s not just theoretical — it’s operational and scalable. As Ankur Patel, one of our product leaders for Microsoft Entra, said about these integrations: it enables “high assurance verification without custom business contracts or technical implementations” (6). In other words, companies can now easily plug this capability in, rather than building their own verification processes from scratch. Before moving on, let’s not forget to include the promised quote from IDEMIA’s exec that really underscores the value: “With more than 40 years of experience in identity issuance, verification and advanced biometrics, our collaboration with Microsoft enables secure authentication with verified identities organizations can rely on to ensure individuals are who they claim to be and critical services can be accessed seamlessly and securely.” – Amit Sharma, Head of Digital Strategy, IDEMIA (6) That quote basically says it all: verified identities that organizations can rely on, enabling seamless and secure access. Now, let’s see how that translates into real-world usage. Use Cases and Benefits: From Onboarding to Recovery How can Verified ID (plus IDEMIA’s) be applied in day-to-day business? There are several high-impact use cases: Remote Employee Onboarding (aka Hire with Confidence): This is the most straightforward scenario. When bringing in a new hire you haven’t met in person, you can integrate an identity verification step. As described earlier, the new employee verifies their government ID and face once, gets a credential, and uses that to start their work. The hiring team can trust that “this person is real and is who they say they are.” This directly prevents many fake-employee scams. In fact, some companies have already tried informal versions of this: The Register reported a story of an identity verification company (ironically) who, after seeing suspicious candidates, told one applicant “next interview we’ll do a document verification, it’s easy, we’ll send you a barcode to scan your ID” – and that candidate never showed up for the next round because they knew they’d be caught (1). With Verified ID, this becomes a standard, automated part of the process, not an ad-hoc test. As a bonus, the employee’s Verified ID credential can also speed up IT onboarding (auto-provisioning accounts when the verified credential is presented) and even simplify things like proving work authorization to other services (think how you often have to send copies of IDs to benefits providers or background screeners – a credential could replace that). The new hire starts faster, and with less anxiety because they know there’s a strong proof attached to their identity, and the company has less risk from day one. Oh, and HR isn’t stuck babysitting sensitive documents – governance and privacy risk go down. Stronger Helpdesk and Support Authentication: Helpdesk fraud is a common way attackers exploit weak verification. Instead of asking employees for their first pet’s name or a short code (which an attacker might phish), support can use Verified ID to confirm the person’s identity. For example, if someone calls IT saying “I’m locked out of my account,” the support portal can send a push notification asking the user to present their Verified Employee credential or do a quick re-verify via the app. If the person on the phone is an impostor, they’ll fail this check. If it’s the real employee, it’s an easy tap on their phone to prove it’s them. This approach secures processes like password resets, unlocking accounts, or granting temporary access. Think of it as caller-ID on steroids. Instead of taking someone’s word that “I am Alice from Finance,” the system actually asks for proof. And because the proof is cryptographically verified, it’s much harder to trick than a human support agent with a sob story. This reduces the burden on support too – less time playing detective with personal questions, more confidence in automating certain requests. Account Recovery and On-Demand Re-Verification: We’ve all dealt with the hassle of account recovery when we lose a password or device. Often it’s a weak link: backup codes, personal Q&A, the support team asking some manager who can’t even tell if it’s really you, or asking for a copy of your ID… With Verified ID, organizations can offer a secure self-service recovery that doesn’t rely on shared secrets. For instance, if you lose access to your multi-factor auth and need to regain entry, you could be prompted to verify your identity with a government ID check through the Verified ID system. Once you pass, you might be allowed to reset your authentication methods. Microsoft is already moving in this direction – there’s talk of replacing security questions with Verified ID checks for Entra ID account recovery (6). The benefit here is you get high assurance that the person recovering the account is the legitimate owner. This is especially important for administrators or other highly privileged users. And it’s still faster for the user than, say, waiting days for IT to manual vet and approve a request. Additionally, companies could have policies where every X months, employees might get a prompt to reaffirm their identity if they’re engaging in sensitive work. It keeps everyone honest and catches any anomalies (like, imagine an attacker somehow compromised an account – when faced with an unexpected ID check, they wouldn’t be able to comply, raising a red flag). Step-Up Authentication for Sensitive Actions: Not every action an employee takes needs this level of verification, but some absolutely do. For example, a finance officer making a $10 million wire transfer, or an engineer pushing code to a production environment, or an HR admin downloading an entire employee database – these could all trigger a step-up authentication that includes verifying the user’s identity credential. In practice, the user might get a pop-up saying “Please present your Verified ID to continue.” It might even ask for a quick fresh selfie depending on the sensitivity, which can be matched against the one on file (using Face Match in a privacy-conscious way). This is like saying: “We know you logged in with your password and MFA earlier, but this action is so critical that we want to double-check you are still the one executing it – not someone who stole your session or is using your computer.” It’s analogous to how some banks send a one-time code for high-value transactions, but instead of just a code (which could be stolen), it’s verifying you. This dramatically reduces the risk of insider threats and account takeovers causing catastrophic damage. And for the user, it’s usually a simple extra step that they’ll understand the importance of, especially in high-stakes fields. It builds trust – both that the company trusts them enough to give access, but also verifies them to ensure no one is impersonating them. In all these cases, Verified ID is adding security without a huge usability cost. In fact, many users might prefer it to the status quo: I’d rather verify my identity once properly than have to answer a bunch of security questions or have an IT person eyeballing my ID over a grainy video call. It also introduces transparency and control. As an employee, if I’m using a Verified ID, I know exactly what credential I’m sharing and why, and I have a log of it. It’s not an opaque process where I send documents into a void. From a governance perspective, using Verified ID means less widespread personal data to protect, and a clearer audit trail of “this action was taken by Alice, whose identity was verified by method X at time Y.” It can even help with regulatory compliance – for instance, proving that you really know who has access to sensitive financial data (important for things like SOX compliance or other audits). And circling back to the theme of fake employees, if such a system is in place, it’s a massive deterrent. The barrier to entry for fraudsters becomes much higher. It’s not impossible (nothing is, and you still need to Assume breach), but now they’d have to fool a top-tier document verification and biometric check – not just an overworked recruiter. That likely requires physical presence and high-quality fake documents, which are riskier and more costly for attackers. The more companies adopt such measures, the less “return on investment” these hiring scams will have for cybercriminals. The Bigger Picture: Verified Identity as the New Security Frontier The convergence of trends here is interesting. On one hand, we have digital transformation and remote work which opened the door to these novel attacks. On the other hand, we have new security philosophies like Zero Trust that emphasize continuous verification of identity and context. Verified ID is essentially Zero Trust for the hiring and identity side of things: “never trust an identity claim, always verify it.” What’s exciting is that this can now be done without turning the enterprise into a surveillance state or creating unbearable friction for legitimate users. It leverages cryptography and user-centric design to raise security and preserve privacy. Microsoft’s involvement in decentralized identity and the integration of partners like IDEMIA signals that this approach is maturing. It’s moving from pilot projects to being built into mainstream products (Entra ID, Microsoft 365, LinkedIn even offers verification badges via Entra Verified ID now (5)). It’s worth noting LinkedIn’s angle here: job seekers can verify where they work or their government ID on their LinkedIn profile, which could also help employers spot fakes (though it’s voluntary and early-stage). For CISOs and identity architects, Verified ID offers a concrete tool to address what was previously a very squishy problem. Instead of just crossing your fingers that employees are who they say they are, you can enforce it. It’s analogous to the evolution of payments security: we moved from signatures (which were rarely checked) to PIN codes and chips, and now to contactless cryptographic payments. Hiring and access management can undergo a similar upgrade from assumption-based to verification-based. Of course, adopting Verified ID or any new identity tech requires planning. Organizations will need to update their onboarding processes, train HR and IT staff on the new procedure, and ensure employees are comfortable with it. Privacy considerations must be addressed (e.g., clarify that biometric data used for verification isn’t stored indefinitely, etc.). But compared to the alternative – doing nothing and hoping to avoid being the next company in a scathing news headline about North Korean fake workers – the effort is worthwhile. In summary, human identity has become the new primary perimeter for cybersecurity. We can build all the firewalls and endpoint protections we want, but if a malicious actor can legitimately log in through the front door as an employee, those defenses may not matter. Verified identity solutions like Microsoft Entra Verified ID (with partners like IDEMIA) provide a way to fortify that perimeter with strong, real-time checks. They bring trust back into remote interactions by shifting from “trust by default” to “trust because verified.” This is not just a theoretical future; it’s happening now. As of late 2025, these tools are generally available and being rolled out in enterprises. Early adopters will likely be those in highly targeted sectors or with regulatory pressures – think defense contractors, financial institutions, and tech companies burned by experience. But I suspect it will trickle into standard best practices over the next few years, much like multi-factor authentication did. The fight against fake employees and deepfake hiring scams will continue, and attackers will evolve new tricks (perhaps trying to fake the verifications themselves). But having this layer in place tilts the balance back in favor of the defenders. It forces attackers to take more risks and expend more resources, which in turn dissuades many from even trying. To end on a practical note: If you’re a security decision-maker, now is a good time to evaluate your organization’s hiring and identity verification practices. Conduct a risk assessment – do you have any way to truly verify a new remote hire’s identity? How confident are you that all your current employees are real? If those questions make you uncomfortable, it’s worth looking into solutions like Verified ID. We’re entering an era where digital identity proofing will be as standard as background checks in HR processes. The technology has caught up to the threat, and embracing it could save your company from a very costly “lesson learned.” Remember: trust is good, but verified trust is better. By making identity verification a seamless part of the employee lifecycle, we can help ensure that the only people on the payroll are the ones we intended to hire. In a world of sophisticated fakes, that confidence is priceless. Sources: (1.1) The Register – Amazon blocked 1,800 suspected North Korean scammers seeking jobs (Dec 18, 2025) – S. Schmidt comments on DPRK fake workers and advises multi-stage identity verification. https://www.theregister.com/2025/12/18/amazon_blocked_fake_dprk_workers ("We believe, at this point, every Fortune 100 and potentially Fortune 500 has a pretty high number of risky employees on their books" Socure Chief Growth Officer Rivka Little) & https://www.linkedin.com/posts/stephenschmidt1_over-the-past-few-years-north-korean-dprk-activity-7407485036142276610-dot7 (“Implement identity verification at multiple hiring stages and monitor for anomalous technical behavior”, Amazon’s CSO, S. Schmidt) | (1.2) Heal Security – Amazon Catches North Korean IT Worker by Tracking Tiny 110ms Keystroke Delays (Dec 19, 2025). https://healsecurity.com/amazon-catches-north-korean-it-worker-by-tracking-tiny-110ms-keystroke-delays/ (2.1) U.S. Department of Justice – “Charges and Seizures Brought in Fraud Scheme Aimed at Denying Revenue for Workers Associated with North Korea” (May 16, 2024). https://www.justice.gov/usao-dc/pr/charges-and-seizures-brought-fraud-scheme-aimed-denying-revenue-workers-associated-north | (2.2) PCMag – “Remote Scammers Infiltrate 300+ Companies” (Aug 4, 2025). https://www.pcmag.com/news/is-your-coworker-a-north-korean-remote-scammers-infiltrate-300-plus-companies | (2.3) POLITICO – Tech companies have a big remote worker problem: North Korean operatives (May 12 2025). https://www.politico.com/news/2025/05/12/north-korea-remote-workers-us-tech-companies-00340208 ("I’ve talked to a lot of CISOs at Fortune 500 companies, and nearly every one that I’ve spoken to about the North Korean IT worker problem has admitted they’ve hired at least one North Korean IT worker, if not a dozen or a few dozen,” Charles Carmakal, Chief Technology Officer at Google Cloud’s Mandiant) & North Koreans posing as remote IT workers infiltrated 136 U.S. companies (Nov 14, 2025). https://www.politico.com/news/2025/11/14/north-korean-remote-work-it-scam-00652866 HR Dive – By 2028, 1 in 4 candidate profiles will be fake, Gartner predicts (Aug 8, 2025) – Gartner research highlighting rising candidate fraud and 25% fake profile forecast. https://www.hrdive.com/news/fake-job-candidates-ai/757126/ World Economic Forum – Unmasking the AI-powered, remote IT worker scams threatening businesses (Dec 15, 2025) – Overview of deepfake hiring threats; recommends government ID checks at multiple hiring stages. https://www.weforum.org/stories/2025/12/unmasking-ai-powered-remote-it-worker-scams-threatening-businesses-worldwide/ The Verge – LinkedIn gets a free verified badge that lets you prove where you work (Apr 2023) – Describes LinkedIn’s integration with Microsoft Entra for profile verification. https://www.theverge.com/2023/4/12/23679998/linkedin-verification-badge-system-clear-microsoft-entra Microsoft Tech Community – Building defense in depth: Simplifying identity security with new partner integrations (Nov 24, 2025 by P. Nrisimha) – Microsoft Entra blog announcing Verified ID GA, includes IDEMIA integration and quotes (Amit Sharma, Ankur Patel). https://techcommunity.microsoft.com/t5/microsoft-entra-blog/building-defense-in-depth-simplifying-identity-security-with-new/ba-p/4468733 & https://www.linkedin.com/posts/idemia-public-security_synced-passkeys-and-high-assurance-account-activity-7407061181879709696-SMi7 & https://www.linkedin.com/posts/4ankurpatel_synced-passkeys-and-high-assurance-account-activity-7406757097578799105-uFZz ("high assurance verification without custom business contracts or technical implementations", Ankur Patel) Microsoft Entra Blog – Building trust into digital experiences with decentralized identities (June 10, 2020 by A. Simons & A. Patel) – Background on Microsoft’s approach to decentralized identity (DID, Verifiable Credentials). https://techcommunity.microsoft.com/t5/microsoft-entra-blog/building-trust-into-digital-experiences-with-decentralized/ba-p/1257362 & Decentralized digital identities and blockchain: The future as we see it. https://www.microsoft.com/en-us/microsoft-365/blog/2018/02/12/decentralized-digital-identities-and-blockchain-the-future-as-we-see-it/ & Partnering for a path to digital identity (Janv 22, 2018) https://blogs.microsoft.com/blog/2018/01/22/partnering-for-a-path-to-digital-identity/ About the Author I'm Samuel Gaston-Raoul, Partner Solution Architect at Microsoft, working across the EMEA region with the diverse ecosystem of Microsoft partners—including System Integrators (SIs) and strategic advisory firms, Independent Software Vendors (ISVs) / Software Development Companies (SDCs), and Startups. I engage with our partners to build, scale, and innovate securely on Microsoft Cloud and Microsoft Security platforms. With a strong focus on cloud and cybersecurity, I help shape strategic offerings and guide the development of security practices—ensuring alignment with market needs, emerging challenges, and Microsoft’s product roadmap. I also engage closely with our product and engineering teams to foster early technical dialogue and drive innovation through collaborative design. Whether through architecture workshops, technical enablement, or public speaking engagements, I aim to evangelize Microsoft’s security vision while co-creating solutions that meet the evolving demands of the AI and cybersecurity era.Security as the core primitive - Securing AI agents and apps
This week at Microsoft Ignite, we shared our vision for Microsoft security -- In the agentic era, security must be ambient and autonomous, like the AI it protects. It must be woven into and around everything we build—from silicon to OS, to agents, apps, data, platforms, and clouds—and throughout everything we do. In this blog, we are going to dive deeper into many of the new innovations we are introducing this week to secure AI agents and apps. As I spend time with our customers and partners, there are four consistent themes that have emerged as core security challenges to secure AI workloads. These are: preventing agent sprawl and access to resources, protecting against data oversharing and data leaks, defending against new AI threats and vulnerabilities, and adhering to evolving regulations. Addressing these challenges holistically requires a coordinated effort across IT, developers, and security leaders, not just within security teams and to enable this, we are introducing several new innovations: Microsoft Agent 365 for IT, Foundry Control Plane in Microsoft Foundry for developers, and the Security Dashboard for AI for security leaders. In addition, we are releasing several new purpose-built capabilities to protect and govern AI apps and agents across Microsoft Defender, Microsoft Entra, and Microsoft Purview. Observability at every layer of the stack To facilitate the organization-wide effort that it takes to secure and govern AI agents and apps – IT, developers, and security leaders need observability (security, management, and monitoring) at every level. IT teams need to enable the development and deployment of any agent in their environment. To ensure the responsible and secure deployment of agents into an organization, IT needs a unified agent registry, the ability to assign an identity to every agent, manage the agent’s access to data and resources, and manage the agent’s entire lifecycle. In addition, IT needs to be able to assign access to common productivity and collaboration tools, such as email and file storage, and be able to observe their entire agent estate for risks such as over-permissioned agents. Development teams need to build and test agents, apply security and compliance controls by default, and ensure AI models are evaluated for safety guardrails and security vulnerabilities. Post deployment, development teams must observe agents to ensure they are staying on task, accessing applications and data sources appropriately, and operating within their cost and performance expectations. Security & compliance teams must ensure overall security of their AI estate, including their AI infrastructure, platforms, data, apps, and agents. They need comprehensive visibility into all their security risks- including agent sprawl and resource access, data oversharing and leaks, AI threats and vulnerabilities, and complying with global regulations. They want to address these risks by extending their existing security investments that they are already invested in and familiar with, rather than using siloed or bolt-on tools. These teams can be most effective in delivering trustworthy AI to their organizations if security is natively integrated into the tools and platforms that they use every day, and if those tools and platforms share consistent security primitives such as agent identities from Entra; data security and compliance controls from Purview; and security posture, detections, and protections from Defender. With the new capabilities being released today, we are delivering observability at every layer of the AI stack, meeting IT, developers, and security teams where they are in the tools they already use to innovate with confidence. For IT Teams - Introducing Microsoft Agent 365, the control plane for agents, now in preview The best infrastructure for managing your agents is the one you already use to manage your users. With Agent 365, organizations can extend familiar tools and policies to confidently deploy and secure agents, without reinventing the wheel. By using the same trusted Microsoft 365 infrastructure, productivity apps, and protections, organizations can now apply consistent and familiar governance and security controls that are purpose-built to protect against agent-specific threats and risks. gement and governance of agents across organizations Microsoft Agent 365 delivers a unified agent Registry, Access Control, Visualization, Interoperability, and Security capabilities for your organization. These capabilities work together to help organizations manage agents and drive business value. The Registry powered by the Entra provides a complete and unified inventory of all the agents deployed and used in your organization including both Microsoft and third-party agents. Access Control allows you to limit the access privileges of your agents to only the resources that they need and protect their access to resources in real time. Visualization gives organizations the ability to see what matters most and gain insights through a unified dashboard, advanced analytics, and role-based reporting. Interop allows agents to access organizational data through Work IQ for added context, and to integrate with Microsoft 365 apps such as Outlook, Word, and Excel so they can create and collaborate alongside users. Security enables the proactive detection of vulnerabilities and misconfigurations, protects against common attacks such as prompt injections, prevents agents from processing or leaking sensitive data, and gives organizations the ability to audit agent interactions, assess compliance readiness and policy violations, and recommend controls for evolving regulatory requirements. Microsoft Agent 365 also includes the Agent 365 SDK, part of Microsoft Agent Framework, which empowers developers and ISVs to build agents on their own AI stack. The SDK enables agents to automatically inherit Microsoft's security and governance protections, such as identity controls, data security policies, and compliance capabilities, without the need for custom integration. For more details on Agent 365, read the blog here. For Developers - Introducing Microsoft Foundry Control Plane to observe, secure and manage agents, now in preview Developers are moving fast to bring agents into production, but operating them at scale introduces new challenges and responsibilities. Agents can access tools, take actions, and make decisions in real time, which means development teams must ensure that every agent behaves safely, securely, and consistently. Today, developers need to work across multiple disparate tools to get a holistic picture of the cybersecurity and safety risks that their agents may have. Once they understand the risk, they then need a unified and simplified way to monitor and manage their entire agent fleet and apply controls and guardrails as needed. Microsoft Foundry provides a unified platform for developers to build, evaluate and deploy AI apps and agents in a responsible way. Today we are excited to announce that Foundry Control Plane is available in preview. This enables developers to observe, secure, and manage their agent fleets with built-in security, and centralized governance controls. With this unified approach, developers can now identify risks and correlate disparate signals across their models, agents, and tools; enforce consistent policies and quality gates; and continuously monitor task adherence and runtime risks. Foundry Control Plane is deeply integrated with Microsoft’s security portfolio to provide a ‘secure by design’ foundation for developers. With Microsoft Entra, developers can ensure an agent identity (Agent ID) and access controls are built into every agent, mitigating the risk of unmanaged agents and over permissioned resources. With Microsoft Defender built in, developers gain contextualized alerts and posture recommendations for agents directly within the Foundry Control Plane. This integration proactively prevents configuration and access risks, while also defending agents from runtime threats in real time. Microsoft Purview’s native integration into Foundry Control Plane makes it easy to enable data security and compliance for every Foundry-built application or agent. This allows Purview to discover data security and compliance risks and apply policies to prevent user prompts and AI responses from safety and policy violations. In addition, agent interactions can be logged and searched for compliance and legal audits. This integration of the shared security capabilities, including identity and access, data security and compliance, and threat protection and posture ensures that security is not an afterthought; it’s embedded at every stage of the agent lifecycle, enabling you to start secure and stay secure. For more details, read the blog. For Security Teams - Introducing Security Dashboard for AI - unified risk visibility for CISOs and AI risk leaders, coming soon AI proliferation in the enterprise, combined with the emergence of AI governance committees and evolving AI regulations, leaves CISOs and AI risk leaders needing a clear view of their AI risks, such as data leaks, model vulnerabilities, misconfigurations, and unethical agent actions across their entire AI estate, spanning AI platforms, apps, and agents. 90% of security professionals, including CISOs, report that their responsibilities have expanded to include data governance and AI oversight within the past year. 1 At the same time, 86% of risk managers say disconnected data and systems lead to duplicated efforts and gaps in risk coverage. 2 To address these needs, we are excited to introduce the Security Dashboard for AI. This serves as a unified dashboard that aggregates posture and real-time risk signals from Microsoft Defender, Microsoft Entra, and Microsoft Purview. This unified dashboard allows CISOs and AI risk leaders to discover agents and AI apps, track AI posture and drift, and correlate risk signals to investigate and act across their entire AI ecosystem. For example, you can see your full AI inventory and get visibility into a quarantined agent, flagged for high data risk due to oversharing sensitive information in Purview. The dashboard then correlates that signal with identity insights from Entra and threat protection alerts from Defender to provide a complete picture of exposure. From there, you can delegate tasks to the appropriate teams to enforce policies and remediate issues quickly. With the Security Dashboard for AI, CISOs and risk leaders gain a clear, consolidated view of AI risks across agents, apps, and platforms—eliminating fragmented visibility, disconnected posture insights, and governance gaps as AI adoption scales. Best of all, there’s nothing new to buy. If you’re already using Microsoft security products to secure AI, you’re already a Security Dashboard for AI customer. Figure 5: Security Dashboard for AI provides CISOs and AI risk leaders with a unified view of their AI risk by bringing together their AI inventory, AI risk, and security recommendations to strengthen overall posture Together, these innovations deliver observability and security across IT, development, and security teams, powered by Microsoft’s shared security capabilities. With Microsoft Agent 365, IT teams can manage and secure agents alongside users. Foundry Control Plane gives developers unified governance and lifecycle controls for agent fleets. Security Dashboard for AI provides CISOs and AI risk leaders with a consolidated view of AI risks across platforms, apps, and agents. Added innovation to secure and govern your AI workloads In addition to the IT, developer, and security leader-focused innovations outlined above, we continue to accelerate our pace of innovation in Microsoft Entra, Microsoft Purview, and Microsoft Defender to address the most pressing needs for securing and governing your AI workloads. These needs are: Manage agent sprawl and resource access e.g. managing agent identity, access to resources, and permissions lifecycle at scale Prevent data oversharing and leaks e.g. protecting sensitive information shared in prompts, responses, and agent interactions Defend against shadow AI, new threats, and vulnerabilities e.g. managing unsanctioned applications, preventing prompt injection attacks, and detecting AI supply chain vulnerabilities Enable AI governance for regulatory compliance e.g. ensuring AI development, operations, and usage comply with evolving global regulations and frameworks Manage agent sprawl and resource access 76% of business leaders expect employees to manage agents within the next 2–3 years. 3 Widespread adoption of agents is driving the need for visibility and control, which includes the need for a unified registry, agent identities, lifecycle governance, and secure access to resources. Today, Microsoft Entra provides robust identity protection and secure access for applications and users. However, organizations lack a unified way to manage, govern, and protect agents in the same way they manage their users. Organizations need a purpose-built identity and access framework for agents. Introducing Microsoft Entra Agent ID, now in preview Microsoft Entra Agent ID offers enterprise-grade capabilities that enable organizations to prevent agent sprawl and protect agent identities and their access to resources. These new purpose-built capabilities enable organizations to: Register and manage agents: Get a complete inventory of the agent fleet and ensure all new agents are created with an identity built-in and are automatically protected by organization policies to accelerate adoption. Govern agent identities and lifecycle: Keep the agent fleet under control with lifecycle management and IT-defined guardrails for both agents and people who create and manage them. Protect agent access to resources: Reduce risk of breaches, block risky agents, and prevent agent access to malicious resources with conditional access and traffic inspection. Agents built in Microsoft Copilot Studio, Microsoft Foundry, and Security Copilot get an Entra Agent ID built-in at creation. Developers can also adopt Entra Agent ID for agents they build through Microsoft Agent Framework, Microsoft Agent 365 SDK, or Microsoft Entra Agent ID SDK. Read the Microsoft Entra blog to learn more. Prevent data oversharing and leaks Data security is more complex than ever. Information Security Media Group (ISMG) reports that 80% of leaders cite leakage of sensitive data as their top concern. 4 In addition to data security and compliance risks of generative AI (GenAI) apps, agents introduces new data risks such as unsupervised data access, highlighting the need to protect all types of corporate data, whether it is accessed by employees or agents. To mitigate these risks, we are introducing new Microsoft Purview data security and compliance capabilities for Microsoft 365 Copilot and for agents and AI apps built with Copilot Studio and Microsoft Foundry, providing unified protection, visibility, and control for users, AI Apps, and Agents. New Microsoft Purview controls safeguard Microsoft 365 Copilot with real-time protection and bulk remediation of oversharing risks Microsoft Purview and Microsoft 365 Copilot deliver a fully integrated solution for protecting sensitive data in AI workflows. Based on ongoing customer feedback, we’re introducing new capabilities to deliver real-time protection for sensitive data in M365 Copilot and accelerated remediation of oversharing risks: Data risk assessments: Previously, admins could monitor oversharing risks such as SharePoint sites with unprotected sensitive data. Now, they can perform item-level investigations and bulk remediation for overshared files in SharePoint and OneDrive to quickly reduce oversharing exposure. Data Loss Prevention (DLP) for M365 Copilot: DLP previously excluded files with sensitivity labels from Copilot processing. Now in preview, DLP also prevents prompts that include sensitive data from being processed in M365 Copilot, Copilot Chat, and Copilot agents, and prevents Copilot from using sensitive data in prompts for web grounding. Priority cleanup for M365 Copilot assets: Many organizations have org-wide policies to retain or delete data. Priority cleanup, now generally available, lets admins delete assets that are frequently processed by Copilot, such as meeting transcripts and recordings, on an independent schedule from the org-wide policies while maintaining regulatory compliance. On-demand classification for meeting transcripts: Purview can now detect sensitive information in meeting transcripts on-demand. This enables data security admins to apply DLP policies and enforce Priority cleanup based on the sensitive information detected. & bulk remediation Read the full Data Security blog to learn more. Introducing new Microsoft Purview data security capabilities for agents and apps built with Copilot Studio and Microsoft Foundry, now in preview Microsoft Purview now extends the same data security and compliance for users and Copilots to agents and apps. These new capabilities are: Enhanced Data Security Posture Management: A centralized DSPM dashboard that provides observability, risk assessment, and guided remediation across users, AI apps, and agents. Insider Risk Management (IRM) for Agents: Uniquely designed for agents, using dedicated behavioral analytics, Purview dynamically assigns risk levels to agents based on their risky handing of sensitive data and enables admins to apply conditional policies based on that risk level. Sensitive data protection with Azure AI Search: Azure AI Search enables fast, AI-driven retrieval across large document collections, essential for building AI Apps. When apps or agents use Azure AI Search to index or retrieve data, Purview sensitivity labels are preserved in the search index, ensuring that any sensitive information remains protected under the organization’s data security & compliance policies. For more information on preventing data oversharing and data leaks - Learn how Purview protects and governs agents in the Data Security and Compliance for Agents blog. Defend against shadow AI, new threats, and vulnerabilities AI workloads are subject to new AI-specific threats like prompt injections attacks, model poisoning, and data exfiltration of AI generated content. Although security admins and SOC analysts have similar tasks when securing agents, the attack methods and surfaces differ significantly. To help customers defend against these novel attacks, we are introducing new capabilities in Microsoft Defender that deliver end-to-end protection, from security posture management to runtime defense. Introducing Security Posture Management for agents, now in preview As organizations adopt AI agents to automate critical workflows, they become high-value targets and potential points of compromise, creating a critical need to ensure agents are hardened, compliant, and resilient by preventing misconfigurations and safeguarding against adversarial manipulation. Security Posture Management for agents in Microsoft Defender now provides an agent inventory for security teams across Microsoft Foundry and Copilot Studio agents. Here, analysts can assess the overall security posture of an agent, easily implement security recommendations, and identify vulnerabilities such as misconfigurations and excessive permissions, all aligned to the MITRE ATT&CK framework. Additionally, the new agent attack path analysis visualizes how an agent’s weak security posture can create broader organizational risk, so you can quickly limit exposure and prevent lateral movement. Introducing Threat Protection for agents, now in preview Attack techniques and attack surfaces for agents are fundamentally different from other assets in your environment. That’s why Defender is delivering purpose-built protections and detections to help defend against them. Defender is introducing runtime protection for Copilot Studio agents that automatically block prompt injection attacks in real time. In addition, we are announcing agent-specific threat detections for Copilot Studio and Microsoft Foundry agents coming soon. Defender automatically correlates these alerts with Microsoft’s industry-leading threat intelligence and cross-domain security signals to deliver richer, contextualized alerts and security incident views for the SOC analyst. Defender’s risk and threat signals are natively integrated into the new Microsoft Foundry Control Plane, giving development teams full observability and the ability to act directly from within their familiar environment. Finally, security analysts will be able to hunt across all agent telemetry in the Advanced Hunting experience in Defender, and the new Agent 365 SDK extends Defender’s visibility and hunting capabilities to third-party agents, starting with Genspark and Kasisto, giving security teams even more coverage across their AI landscape. To learn more about how you can harden the security posture of your agents and defend against threats, read the Microsoft Defender blog. Enable AI governance for regulatory compliance Global AI regulations like the EU AI Act and NIST AI RMF are evolving rapidly; yet, according to ISMG, 55% of leaders report lacking clarity on current and future AI regulatory requirements. 5 As enterprises adopt AI, they must ensure that their AI innovation aligns with global regulations and standards to avoid costly compliance gaps. Introducing new Microsoft Purview Compliance Manager capabilities to stay ahead of evolving AI regulations, now in preview Today, Purview Compliance Manager provides over 300 pre-built assessments for common industry, regional, and global standards and regulations. However, the pace of change for new AI regulations requires controls to be continuously re-evaluated and updated so that organizations can adapt to ongoing changes in regulations and stay compliant. To address this need, Compliance Manager now includes AI-powered regulatory templates. AI-powered regulatory templates enable real-time ingestion and analysis of global regulatory documents, allowing compliance teams to quickly adapt to changes as they happen. As regulations evolve, the updated regulatory documents can be uploaded to Compliance Manager, and the new requirements are automatically mapped to applicable recommended actions to implement controls across Microsoft Defender, Microsoft Entra, Microsoft Purview, Microsoft 365, and Microsoft Foundry. Automated actions by Compliance Manager further streamline governance, reduce manual workload, and strengthen regulatory accountability. Introducing expanded Microsoft Purview compliance capabilities for agents and AI apps now in preview Microsoft Purview now extends its compliance capabilities across agent-generated interactions, ensuring responsible use and regulatory alignment as AI becomes deeply embedded across business processes. New capabilities include expanded coverage for: Audit: Surface agent interactions, lifecycle events, and data usage with Purview Audit. Unified audit logs across user and agent activities, paired with traceability for every agent using an Entra Agent ID, support investigation, anomaly detection, and regulatory reporting. Communication Compliance: Detect prompts sent to agents and agent-generated responses containing inappropriate, unethical, or risky language, including attempts to manipulate agents into bypassing policies, generating risky content, or producing noncompliant outputs. When issues arise, data security admins get full context, including the prompt, the agent’s output, and relevant metadata, so they can investigate and take corrective action Data Lifecycle Management: Apply retention and deletion policies to agent-generated content and communication flows to automate lifecycle controls and reduce regulatory risk. Read about Microsoft Purview data security for agents to learn more. Finally, we are extending our data security, threat protection, and identity access capabilities to third-party apps and agents via the network. Advancing Microsoft Entra Internet Access Secure Web + AI Gateway - extend runtime protections to the network, now in preview Microsoft Entra Internet Access, part of the Microsoft Entra Suite, has new capabilities to secure access to and usage of GenAI at the network level, marking a transition from Secure Web Gateway to Secure Web and AI Gateway. Enterprises can accelerate GenAI adoption while maintaining compliance and reducing risk, empowering employees to experiment with new AI tools safely. The new capabilities include: Prompt injection protection which blocks malicious prompts in real time by extending Azure AI Prompt Shields to the network layer. Network file filtering which extends Microsoft Purview to inspect files in transit and prevents regulated or confidential data from being uploaded to unsanctioned AI services. Shadow AI Detection that provides visibility into unsanctioned AI applications through Cloud Application Analytics and Defender for Cloud Apps risk scoring, empowering security teams to monitor usage trends, apply Conditional Access, or block high-risk apps instantly. Unsanctioned MCP server blocking prevents access to MCP servers from unauthorized agents. With these controls, you can accelerate GenAI adoption while maintaining compliance and reducing risk, so employees can experiment with new AI tools safely. Read the Microsoft Entra blog to learn more. As AI transforms the enterprise, security must evolve to meet new challenges—spanning agent sprawl, data protection, emerging threats, and regulatory compliance. Our approach is to empower IT, developers, and security leaders with purpose-built innovations like Agent 365, Foundry Control Plane, and the Security Dashboard for AI. These solutions bring observability, governance, and protection to every layer of the AI stack, leveraging familiar tools and integrated controls across Microsoft Defender, Microsoft Entra, and Microsoft Purview. The future of security is ambient, autonomous, and deeply woven into the fabric of how we build, deploy, and govern AI systems. Explore additional resources Learn more about Security for AI solutions on our webpage Learn more about Microsoft Agent 365 Learn more about Microsoft Entra Agent ID Get started with Microsoft 365 Copilot Get started with Microsoft Copilot Studio Get started with Microsoft Foundry Get started with Microsoft Defender for Cloud Get started with Microsoft Entra Get started with Microsoft Purview Get started with Microsoft Purview Compliance Manager Sign up for a free Microsoft 365 E5 Security Trial and Microsoft Purview Trial 1 Bedrock Security, 2025 Data Security Confidence Index, published Mar 17, 2025. 2 AuditBoard & Ascend2, Connected Risk Report 2024; as cited by MIT Sloan Management Review, Spring 2025. 3 KPMG AI Quarterly Pulse Survey | Q3 2025. September 2025. n= 130 U.S.-based C-suite and business leaders representing organizations with annual revenue of $1 billion or more 4 First Annual Generative AI study: Business Rewards vs. Security Risks, , Q3 2023, ISMG, N=400 5 First Annual Generative AI study: Business Rewards vs. Security Risks, Q3 2023, ISMG, N=400Security Guidance Series: CAF 4.0 Threat Hunting From Detection to Anticipation
The CAF 4.0 update reframes C2 (Threat Hunting) as a cornerstone of proactive cyber resilience. According to the NCSC CAF 4.0, this principle is no longer about occasional investigations or manual log reviews; it now demands structured, frequent, and intelligence-led threat hunting that evolves in line with organizational risk. The expectation is that UK public sector organizations will not just respond to alerts but will actively search for hidden or emerging threats that evade standard detection technologies, documenting their findings and using them to strengthen controls and response. In practice, this represents a shift from detection to anticipation. Threat hunting under CAF 4.0 should be hypothesis-driven, focusing on attacker tactics, techniques, and procedures (TTPs) rather than isolated indicators of compromise (IoCs). Organizations must build confidence that their hunting processes are repeatable, measurable, and continuously improving, leveraging automation and threat intelligence to expand coverage and consistency. Microsoft E3 Microsoft E3 equips organizations with the baseline capabilities to begin threat investigation, forming the starting point for Partially Achieved maturity under CAF 4.0 C2. At this level, hunting is ad hoc and event-driven, but it establishes the foundation for structured processes. How E3 contributes to the following objectives in C2: Reactive detection for initial hunts: Defender for Endpoint Plan 1 surfaces alerts on phishing, malware, and suspicious endpoint activity. Analysts can use these alerts to triage incidents and document steps taken, creating the first iteration of a hunting methodology. Identity correlation and manual investigation: Entra ID P1 provides Conditional Access and MFA enforcement, while audit telemetry in the Security & Compliance Centre supports manual reviews of identity anomalies. These capabilities allow organizations to link endpoint and identity signals during investigations. Learning from incidents: By recording findings from reactive hunts and feeding lessons into risk decisions, organizations begin to build repeatable processes, even if hunts are not yet hypothesis-driven or frequent enough to match risk. What’s missing for Achieved: Under E3, hunts remain reactive, lack documented hypotheses, and do not routinely convert findings into automated detections. Achieving full maturity typically requires regular, TTP-focused hunts, automation, and integration with advanced analytics, capabilities found in higher-tier solutions. Microsoft E5 Microsoft E5 elevates threat hunting from reactive investigation to a structured, intelligence-driven discipline, a defining feature of Achieved maturity under CAF 4.0, C2. Distinctive E5 capabilities for C2: Hypothesis-driven hunts at scale: Defender Advanced Hunting (KQL) enables analysts to test hypotheses across correlated telemetry from endpoints, identities, email, and SaaS applications. This supports hunts focused on adversary TTPs, not just atomic IoCs, as CAF requires. Turning hunts into detections: Custom hunting queries can be converted into alert rules, operationalizing findings into automated detection and reducing reliance on manual triage. Threat intelligence integration: Microsoft Threat Intelligence feeds real-time actor tradecraft and sector-specific campaigns into the hunting workflow, ensuring hunts anticipate emerging threats rather than react to incidents. Identity and lateral movement focus: Defender for Identity surfaces Kerberos abuse, credential replay, and lateral movement patterns, enabling hunts that span beyond endpoints and email. Documented and repeatable process: E5 supports recording hunt queries and outcomes via APIs and portals, creating evidence for audits and driving continuous improvement, a CAF expectation. By embedding hypothesis-driven hunts, automation, and intelligence into business-as-usual operations, E5 helps public sector organizations meet CAF C2’s requirement for regular, documented hunts that proactively reduce risk, and evolve with the threat landscape. Sentinel Microsoft Sentinel takes threat hunting beyond the Microsoft ecosystem, unifying telemetry from endpoints, firewalls, OT systems, and third-party SaaS into a single cloud-native SIEM and SOAR platform. This consolidation helps enable hunts that span the entire attack surface, a critical step toward achieving maturity under CAF 4.0 C2. Key capabilities for control C2: Attacker-centric analysis: MITRE ATT&CK-aligned analytics and KQL-based hunting allow teams to identify stealthy behaviours, simulate breach paths, and validate detection coverage. Threat intelligence integration: Sentinel enriches hunts with national and sector-specific intelligence (e.g. NCSC advisories), ensuring hunts target the most relevant TTPs. Automation and repeatability: SOAR playbooks convert post-hunt findings into automated workflows for containment, investigation, and documentation, meeting CAF’s requirement for structured, continuously improving hunts. Evidence-driven improvement: Recorded hunts and automated reporting create a feedback loop that strengthens posture and demonstrates compliance. By combining telemetry, intelligence, and automation, Sentinel helps organizations embed threat hunting as a routine, scalable process, turning insights into detections and ensuring hunts evolve with the threat landscape. The video below shows how E3, E5 and Sentinel power real C2 threat hunts. Bringing it all Together By progressing from E3’s reactive investigation to E5’s intelligence-led correlation and Sentinel’s automated hunting and orchestration, organizations can develop an end-to-end capability that not only detects but anticipates and helps prevent disruption to essential public services across the UK. This is the operational reality of Achieved under CAF 4.0 C2 (Threat Hunting) - a structured, data-driven, and intelligence-informed approach that transforms threat hunting from an isolated task into an ongoing discipline of proactive defence. To demonstrate what effective, CAF-aligned threat hunting looks like, the following one-slider and demo walk through how Microsoft’s security tools support structured, repeatable hunts that match organizational risk. These examples help translate C2’s expectations into practical, operational activity. CAF 4.0 challenges public-sector defenders to move beyond detection and embrace anticipation. How mature is your organization’s ability to uncover the threats that have not yet been seen? In this final post of the series, the message is clear - true cyber resilience moves beyond reactivity towards a predictive approach.Security Guidance Series: CAF 4.0 Understanding Threat From Awareness to Intelligence-Led Defence
The updated CAF 4.0 raises expectations around control A2.b - Understanding Threat. Rather than focusing solely on awareness of common cyber-attacks, the framework now calls for a sector-specific, intelligence-informed understanding of the threat landscape. According to the NCSC, CAF 4.0 emphasizes the need for detailed threat analysis that reflects the tactics, techniques, and resources of capable adversaries, and requires that this understanding directly shapes security and resilience decisions. For public sector authorities, this means going beyond static risk registers to build a living threat model that evolves alongside digital transformation and service delivery. Public sector authorities need to know which systems and datasets are most exposed, from citizen records and clinical information to education systems, operational platforms, and payment gateways, and anticipate how an attacker might exploit them to disrupt essential services. To support this higher level of maturity, Microsoft’s security ecosystem helps public sector authorities turn threat intelligence into actionable understanding, directly aligning with CAF 4.0’s Achieved criteria for control A2.b. Microsoft E3 - Building Foundational Awareness Microsoft E3 provides public sector authorities with the foundational capabilities to start aligning with CAF 4.0 A2.b by enabling awareness of common threats and applying that awareness to risk decisions. At this maturity level, organizations typically reach Partially Achieved, where threat understanding is informed by incidents rather than proactive analysis. How E3 contributes to Contributing Outcome A2.b: Visibility of basic threats: Defender for Endpoint Plan 1 surfaces malware and unsafe application activity, giving organizations insight into how adversaries exploit endpoints. This telemetry helps identify initial attacker entry points and informs reactive containment measures. Identity risk reduction: Entra ID P1 enforces MFA and blocks legacy authentication, mitigating common credential-based attacks. These controls reduce the likelihood of compromise at early stages of an attacker’s path. Incident-driven learning: Alerts and Security & Compliance Centre reports allow organizations to review how attacks unfolded, supporting documentation of observed techniques and feeding lessons into risk decisions. What’s missing for Achieved: To fully meet the contributing outcomes A2.b, public sector organizations must evolve from incident-driven awareness to structured, intelligence-led threat analysis. This involves anticipating probable attack methods, developing plausible scenarios, and maintaining a current threat picture through proactive hunting and threat intelligence. These capabilities extend beyond the E3 baseline and require advanced analytics and dedicated platforms. Microsoft E5 – Advancing to Intelligence-Led Defence Where E3 establishes the foundation for identifying and documenting known threats, Microsoft E5 helps public sector organizations to progress toward the Achieved level of CAF control A2.b by delivering continuous, intelligence-driven analysis across every attack surface. How E5 aligns with Contributing Outcome A2.b: Detailed, up-to-date view of attacker paths: At the core of E5 is Defender XDR, which correlates telemetry from Defender for Endpoint Plan 2, Defender for Office 365 Plan 2, Defender for Identity, and Defender for Cloud Apps. This unified view reveals how attackers move laterally between devices, identities, and SaaS applications - directly supporting CAF’s requirement to understand probable attack methods and the steps needed to reach critical targets. Advanced hunting and scenario development: Defender for Endpoint P2 introduces advanced hunting via Kusto Query Language (KQL) and behavioural analytics. Analysts can query historical data to uncover persistence mechanisms or privilege escalation techniques, assisting organizations to anticipate attack chains and develop plausible scenarios, a key expectation under A2.b. Email and collaboration threat modelling: Defender for Office 365 P2 detects targeted phishing, business email compromise, and credential harvesting campaigns. Attack Simulation Training adds proactive testing of social engineering techniques, helping organizations maintain awareness of evolving attacker tradecraft and refine mitigations. Identity-focused threat analysis: Defender for Identity and Entra ID P2 expose lateral movement, credential abuse, and risky sign-ins. By mapping tactics and techniques against frameworks like MITRE ATT&CK, organizations can gain the attacker’s perspective on identity systems - fulfilling CAF’s call to view networks from a threat actor’s lens. Cloud application risk visibility: Defender for Cloud Apps highlights shadow IT and potential data exfiltration routes, helping organizations to document and justify controls at each step of the attack chain. Continuous threat intelligence: Microsoft Threat Intelligence enriches detections with global and sector-specific insights on active adversary groups, emerging malware, and infrastructure trends. This sustained feed helps organizations maintain a detailed understanding of current threats, informing risk decisions and prioritization. Why this meets Achieved: E5 capabilities help organizations move beyond reactive alerting to a structured, intelligence-led approach. Threat knowledge is continuously updated, scenarios are documented, and controls are justified at each stage of the attacker path, supporting CAF control A2.b’s expectation that threat understanding informs risk management and defensive prioritization. Sentinel While Microsoft E5 delivers deep visibility across endpoints, identities, and applications, Microsoft Sentinel acts as the unifying layer that helps transform these insights into a comprehensive, evidence-based threat model, a core expectation of Achieved maturity under CAF 4.0 A2.b. How Sentinel enables Achieved outcomes: Comprehensive attack-chain visibility: As a cloud-native SIEM and SOAR, Sentinel ingests telemetry from Microsoft and non-Microsoft sources, including firewalls, OT environments, legacy servers, and third-party SaaS platforms. By correlating these diverse signals into a single analytical view, Sentinel allows defenders to visualize the entire attack chain, from initial reconnaissance through lateral movement and data exfiltration. This directly supports CAF’s requirement to understand how capable, well-resourced actors could systematically target essential systems. Attacker-centric analysis and scenario building: Sentinel’s Analytics Rules and MITRE ATT&CK-aligned detections provide a structured lens on tactics and techniques. Security teams can use Kusto Query Language (KQL) and advanced hunting to identify anomalies, map adversary behaviours, and build plausible threat scenarios, addressing CAF’s expectation to anticipate probable attack methods and justify mitigations at each step. Threat intelligence integration: Sentinel enriches local telemetry with intelligence from trusted sources such as the NCSC and Microsoft’s global network. This helps organizations maintain a current, sector-specific understanding of threats, applying that knowledge to prioritize risk treatment and policy decisions, a defining characteristic of Achieved maturity. Automation and repeatable processes: Sentinel’s SOAR capabilities operationalize intelligence through automated playbooks that contain threats, isolate compromised assets, and trigger investigation workflows. These workflows create a documented, repeatable process for threat analysis and response, reinforcing CAF’s emphasis on continuous learning and refinement. This video brings CAF A2.b – Understanding Threat – to life, showing how public sector organizations can use Microsoft security tools to build a clear, intelligence-led view of attacker behaviour and meet the expectations of CAF 4.0. Why this meets Achieved: By consolidating telemetry, threat intelligence, and automated response into one platform, Sentinel elevates public sector organizations from isolated detection to an integrated, intelligence-led defence posture. Every alert, query, and playbook contributes to an evolving organization-wide threat model, supporting CAF A2.b’s requirement for detailed, proactive, and documented threat understanding. CAF 4.0 challenges every public-sector organization to think like a threat actor, to understand not just what could go wrong, but how and why. Does your organization have the visibility, intelligence, and confidence to turn that understanding into proactive defence? To illustrate how this contributing outcome can be achieved in practice, the one-slider and demo show how Microsoft’s security capabilities help organizations build the detailed, intelligence-informed threat picture expected by CAF 4.0. These examples turn A2.b’s requirements into actionable steps for organizations. In the next article, we’ll explore C2 - Threat Hunting: moving from detection to anticipation and embedding proactive resilience as a daily capability.Security Guidance Series: CAF 4.0 Building Proactive Cyber Resilience
It’s Time To Act Microsoft's Digital Defense Report 2025 clearly describes the cyber threat landscape that this guidance is situated in, one that has become more complex, more industrialized, and increasingly democratized. Each day, Microsoft processes more than 100 trillion security signals, giving unparalleled visibility into adversarial tradecraft. Identity remains the most heavily targeted attack vector, with 97% of identity-based attacks relying on password spray, while phishing and unpatched assets continue to provide easy routes for initial compromise. Financially motivated attacks, particularly ransomware and extortion, now make up over half of global incidents, and nation-state operators continue to target critical sectors, including IT, telecommunications, and Government networks. AI is accelerating both sides of the equation: enhancing attacker capability, lowering barriers to entry through open-source models, and simultaneously powering more automated, intelligence-driven defence. Alongside this, emerging risks such as quantum computing underline the urgency of preparing today for tomorrow’s threats. Cybersecurity has therefore become a strategic imperative shaping national resilience and demanding genuine cross-sector collaboration to mitigate systemic risk. It is within this environment that UK public sector organizations are rethinking their approach to cyber resilience. As an Account Executive Apprentice in the Local Public Services team here at Microsoft, I have seen how UK public sector organizations are rethinking their approach to cyber resilience, moving beyond checklists and compliance toward a culture of continuous improvement and intelligence-led defence. When we talk about the UK public sector in this series, we are referring specifically to central government departments, local government authorities, health and care organizations (including the NHS), education institutions, and public safety services such as police, fire, and ambulance. These organizations form a deeply interconnected ecosystem delivering essential services to millions of citizens every day, making cyber resilience not just a technical requirement but a foundation of public trust. Against this backdrop, the UK public sector is entering a new era of cyber resilience with the release of CAF 4.0, the latest evolution of the National Cyber Security Centre’s Cyber Assessment Framework. This guidance has been developed in consultation with national cyber security experts, including the UK’s National Cyber Security Centre (NCSC), and is an aggregation of knowledge and internationally recognized expertise. Building on the foundations of CAF 3.2, this update marks a decisive shift, like moving from a static map to a live radar. Instead of looking back at where threats once were, organizations can now better anticipate them and adjust their digital defences in real time. For the UK’s public sector, this transformation could not be timelier. The complexity of digital public services, combined with the growing threat of ransomware, insider threat, supply chain compromise, and threats from nation state actors, demands a faster, smarter, and more connected approach to resilience. Where CAF 3.2 focused on confirming the presence and effectiveness of security measures, CAF 4.0 places greater emphasis on developing organizational capability and improving resilience in a more dynamic threat environment. While the CAF remains an outcome-based framework, not a maturity model, it is structured around Objectives, Principles, and Contributing Outcomes, with each contributing outcome supported by Indicators of Good Practice. For simplicity, I refer to these contributing outcomes as “controls” throughout this blog and use that term to describe the practical expectations organizations are assessed against. CAF 4.0 challenges organizations not only to understand the threats they face but to anticipate, detect, and respond in a more informed and adaptive way. Two contributing outcomes exemplify this proactive mindset: A2.b Understanding Threat and C2 Threat Hunting. Together, they represent what it truly means to understand your adversaries and act before harm occurs. For the UK’s public sector, achieving these new objectives may seem daunting, but the path forward is clearer than ever. Many organizations are already beginning this journey, supported by technologies that help turn insight into action and coordination into resilience. At Microsoft, we’ve seen how tools like E3, E5, and Sentinel are already helping public sector teams to move from reactive to intelligence-driven security operations. Over the coming weeks, we’ll explore how these capabilities align to CAF 4.0’s core principles and share practical examples of how councils can strengthen their resilience journey through smarter visibility, automation, and collaboration. CAF 4.0 vs CAF 3.2 - What’s Changed and Why It Matters The move from CAF 3.2 to CAF 4.0 represents a fundamental shift in how the UK public sector builds cyber resilience. The focus is no longer on whether controls exist - it is on whether they work, adapt, and improve over time. CAF 4.0 puts maturity at the centre. It pushes organizations to evolve from compliance checklists to operational capability, adopting a threat-informed, intelligence-led, and proactive security posture, by design. CAF 4.0 raises the bar for cyber maturity across the public sector. It calls for departments and authorities to build on existing foundations and embrace live threat intelligence, behavioural analytics, and structured threat hunting to stay ahead of adversaries. By understanding how attackers might target essential services and adapting controls in real time, organizations can evolve from awareness to active defence. Today’s threat actors are agile, persistent, and increasingly well-resourced, which means reactive measures are no longer enough. CAF 4.0 positions resilience as a continuous process of learning, adapting, and improving, supported by data-driven insights and modern security operations. CAF 4.0 is reshaping how the UK’s public sector approaches security maturity. In the coming weeks, we’ll explore what this looks like in practice, starting with how to build a deeper understanding of threat (control A2.b) and elevate threat hunting (control C2) into an everyday capability, using the tools and insights that are available within existing Microsoft E3 and E5 licences to help support these objectives. Until then, how ready is your organization to turn insight into action?
Microsoft Sentinel MCP server - Generally Available With Exciting New Capabilities
Today, we’re excited to announce the General Availability of Microsoft Sentinel MCP (Model Context Protocol) server, a fully managed cloud service built on an open standard that empowers AI agents to seamlessly access your entire security context through natural language, eliminating the need for complex data engineering as you build agents. This unlocks new levels of AI agent performance and effectiveness, enabling them to do more for you. Since the public preview launch on September 30, hundreds of customers have explored MCP tools that provide semantic access to their entire security context. These tools allow security AI agents to operate with unprecedented precision by understanding your unique security context in natural language. Today, we’re introducing multiple innovations and new capabilities designed to help even more customers unlock more with AI-driven security. This post offers a high-level overview of what’s new. Stay tuned for deep-dive blogs that will unpack each feature in detail. Connect to Sentinel MCP server from Multiple AI Platforms By adopting the MCP open standard, we can progress on our mission to empower effective AI agents wherever you choose to run them. Beyond Security Copilot and VSCode Github Copilot, Sentinel MCP server is now natively integrated with Copilot Studio and Microsoft Foundry agent-building experiences. When creating an agent in any of these platforms, you can easily select Sentinel MCP tools, no pre-configuration required. It’s ready to use, so if you are using any of these platforms, dive in and give it a try. Click here for detailed guidance Additionally, you can now connect OpenAI ChatGPT to Sentinel MCP server through a secured OAuth authentication through a simple configuration in Entra. Learn how here assess threat impact on your organization Custom KQL Tools Many organizations rely on a curated library of KQL queries for incident triage, investigation, and threat hunting used in manual Standard Operating Procedures (SOP) or SOAR playbooks—often managed within Defender Advanced Hunting. Now, with Sentinel MCP server, you can instantly transform these saved KQL queries into custom tools with just a click. This new capability allows you to empower your AI agents with precise, actionable data tailored to your unique security workflows. Once a KQL query is saved as a tool, Sentinel MCP server automatically creates and maintains a corresponding MCP tool—ensuring it’s always in sync with the latest version of your saved query in Defender Advanced Hunting. Any connected agent can invoke this tool, confident it reflects your most current logic and requirements. Learn more here Entity Analyzer Assessing the risk of entities is a core task for SOC teams—whether triaging incidents, investigating threats, or automating response workflows. Traditionally, this has required building complex playbooks or custom logic to gather and analyze fragmented security data from multiple sources. With entity analyzer, this complexity is eliminated. The tool leverages your organization’s security data in Sentinel to deliver comprehensive, reasoned risk assessments for any entity your agents encounter – starting with users and urls. By providing a unified, out-of-the-box solution for entity analysis, entity analyzer enables your AI agents to make smarter decisions and automate more tasks—without the need to manually engineer risk evaluation logic for each entity type. This not only accelerates agent development, but also ensures your agents are always working with the most relevant and up-to-date context from across your security environment. Entity Analyzer is now available to any MCP client integrated with Sentinel MCP Server. And for those building SOAR workflows, entity analyzer is natively integrated with Logic Apps, making it easy to enrich entities and automate verdicts within your playbooks. Learn how to build a Logic Apps playbook with Entity Analyzer Graph Tools Microsoft Sentinel graph connects assets, identities, activities, and threat intelligence into a unified security graph, uncovering insights that structured data alone can’t provide such as relationships, blast radius, and attack paths. The graph is now generally available, and these advanced insights can be accessed by AI agents in natural language through a dedicated set of MCP tools. Graph MCP tools are offered in a sign-up preview. Triage Incidents and Alerts Sentinel MCP server extends to enable natural language access to a set of APIs that enable incident and alert triage. AI agents can use these tools to carry out autonomous triage and investigation of Defender XDR and Sentinel alerts and incidents. In the next couple of weeks, it will be available, out of the box, to all customers using Microsoft Defender XDR, Microsoft Sentinel or Microsoft Defender for Endpoint. Stay tuned. Smarter Security, Less Effort With the latest innovations in Sentinel MCP server, security teams can now harness the full power of AI-driven automation with unprecedented simplicity and impact. From seamless integration with leading AI platforms to instant creation of custom KQL tools and out-of-the-box entity analysis, Sentinel MCP server empowers your agents to deliver smarter, faster, and more effective security outcomes. These advancements eliminate manual complexity, accelerate agent development, and ensure your SOC is always equipped with the most relevant context. Currently, features like entity analysis are available at no additional charge; as we continue to evolve the platform, we’ll share updates on future pricing well in advance. Try out the new features today and stay tuned for deep-dive updates as we continue to push the boundaries of AI-powered security automation. Learn how to get startedUnlocking Developer Innovation with Microsoft Sentinel data lake
Introduction Microsoft Sentinel is evolving rapidly, transforming to be both an industry-leading SIEM and an AI-ready platform that empowers agentic defense across the security ecosystem. In our recent webinar: Introduction to Sentinel data lake for Developers, we explored how developers can leverage Sentinel’s unified data lake, extensible architecture, and integrated tools to build innovative security solutions. This post summarizes the key takeaways and actionable insights for developers looking to harness the full power of Sentinel. The Sentinel Platform: A Foundation for Agentic Security Unified Data and Context Sentinel centralizes security data cost-effectively, supporting massive volumes and diverse data types. This unified approach enables advanced analytics, graph-enabled context, and AI-ready data access—all essential for modern security operations. Developers can visualize relationships across assets, activities, and threats, mapping incidents and hunting scenarios with unprecedented clarity. Extensible and Open Platform Sentinel’s open architecture simplifies onboarding and data integration. Out-of-the-box connectors and codeless connector creation make it easy to bring in third-party data. Developers can quickly package and publish agents that leverage the centralized data lake and MCP server, distributing solutions through Microsoft Security Store for maximum reach. The Microsoft Security Store is a storefront for security professionals to discover, buy, and deploy vetted security SaaS solutions and AI agents from our ecosystem partners. These offerings integrate natively with Microsoft Security products—including the Sentinel platform, Defender, and Entra, to deliver end‑to‑end protection. By combining curated, deploy‑ready solutions with intelligent, AI‑assisted workflows, the Store reduces integration friction and speeds time‑to‑value for critical tasks like triage, threat hunting, and access management. Advanced Analytics and AI Integration With support for KQL, Spark, and ML tools, Sentinel separates storage and compute, enabling scalable analytics and semantic search. Jupyter Notebooks hosted in on-demand Spark environments allow for rich data engineering and machine learning directly on the data lake. Security Copilot agents, seamlessly integrated with Sentinel, deliver autonomous and adaptive automation, enhancing both security and IT operations. Developer Scenarios: Unlocking New Possibilities The webinar showcased several developer scenarios enabled by Sentinel’s platform components: Threat Investigations Over Extended Timelines: Query historical data to uncover slow-moving attacks and persistent threats. Behavioral Baselining: Model normal behavior using months of sign-in logs to detect anomalies. Alert Enrichment: Correlate alerts with firewall and NetFlow data to improve accuracy and reduce false positives. Retrospective Threat Hunting: React to new indicators of compromise by running historical queries across the data lake. ML-Powered Insights: Build machine learning models for anomaly detection, alert enrichment, and predictive analytics. These scenarios demonstrate how developers can leverage Sentinel’s data lake, graph capabilities, and integrated analytics to deliver powerful security solutions. End-to-End Developer Journey The following steps outline a potential workflow for developers to ingest and analyze their data within the Sentinel platform. Data Sources: Identify high-value data sources from your environment to integrate with Microsoft Security data. The journey begins with your unique view of the customer’s digital estate. This is data you have in your platform today. Bringing this data into Sentinel helps customers make sense of their entire security landscape at once. Data Ingestion: Import third-party data into the Sentinel data lake for secure, scalable analytics. As customer data flows from various platforms into Sentinel, it is centralized and normalized, providing a unified foundation for advanced analysis and threat detection across the customer’s digital environment. Sentinel data lake and Graph: Run Jupyter Notebook jobs for deep insights, combining contributed and first-party data. Once data resides in the Sentinel data lake, developers can leverage its graph capabilities to model relationships and uncover patterns, empowering customers with comprehensive insights into security events and trends. Agent Creation: Build Security Copilot agents that interact with Sentinel data using natural language prompts. These agents make the customer’s ingested data actionable, allowing users to ask questions or automate tasks, and helping teams quickly respond to threats or investigate incidents using their own enterprise data. Solution Packaging: Package and distribute solutions via the Microsoft Security Store, reaching customers at scale. By packaging these solutions, developers enable customers to seamlessly deploy advanced analytics and automation tools that harness their data journey— from ingestion to actionable insights—across their entire security estate. Conclusion Microsoft Sentinel’s data lake and platform capabilities open new horizons for developers. By centralizing data, enabling advanced analytics, and providing extensible tools, Sentinel empowers you to build solutions that address today’s security challenges and anticipate tomorrow’s threats. Explore the resources below, join the community, and start innovating with Sentinel today! App Assure: For assistance with developing a Sentinel Codeless Connector Framework (CCF) connector, you can contact AzureSentinelPartner@microsoft.com. Microsoft Security Community: aka.ms/communitychoice Next Steps: Resources and Links Ready to dive deeper? Explore these resources to get started: Get Educated! Sentinel data lake general availability announcement Sentinel data lake official documentation Connect Sentinel to Defender Portal Onboarding to Sentinel data lake Integration scenarios (e.g. hunt | jupyter) KQL queries Jupyter notebooks (link) as jobs (link) VS Code Extension Sentinel graph Sentinel MCP server Security Copilot agents Microsoft Security Store Take Action! Bring your data into Sentinel Build a composite solution Explore Security Copilot agents Publish to Microsoft Security Store List existing SaaS apps in Security Store
