The CISO Cheat Sheet to Microsoft Digital Defense Report 2026
I know we’re all busy, so I’ve pulled the most important data from this year’s Microsoft Digital Defense Report into one short read. The full report is well worth exploring, but this article focuses on the numbers and trends most relevant to security leaders. This year’s edition shows that AI is lowering the time, expertise and cost required to discover and exploit weaknesses, enabling attackers to operate with greater speed, scale and autonomy. The report describes this as AI “changing the physics of cybersecurity”: attack timelines are compressing and agentic systems are beginning to automate more of the attack lifecycle. Trend 1: Time has collapsed The clearest finding is about speed. Vulnerability discovery is increasingly running ahead of remediation, while the time from discovery to weaponisation is shrinking. In the AI era, weaponisation can follow in hours. Vulnerability discovery and weaponisation now often needs only a well-written prompt. The median time from discovery in the wild to weaponisation is below 24 hours. Vulnerabilities were on track for a record estimated 72,000 CVEs in 2026. The report expects a multi-year period in which the number of known but unpatched vulnerabilities rises sharply before eventually declining. The median time from container start to first exploit attempt is 5.3 hours. The ransomware actor Storm-1175 moved from web-facing exploitation to deploying Medusa ransomware in as little as 24 hours. CISA added over 110 CVEs to its Known Exploited Vulnerabilities catalogue between November 2025 and May 2026, most within a week of disclosure. The mismatch with enterprise reality is the uncomfortable part. The report says the disclosure-to-exploitation window has shrunk to single-digit days. Between November 2025 and May 2026, CISA added more than 110 vulnerabilities to its Known Exploited Vulnerabilities catalogue, most within a week of disclosure. In one example, Storm-1175 moved from exploiting a web-facing vulnerability to deploying Medusa ransomware in as little as 24 hours. Microsoft’s Red Team makes an important point: a patch is also a disclosure. Every fix points attackers towards the flaw it closes. As AI-assisted analysis makes reversing patches faster and more reliable, the report argues that patch velocity, not simply patch availability, becomes the control that matters. Trend 2: Attack chains are gaining autonomy The report charts a clear progression: September–November 2025: AI assists in orchestrating a campaign, as in the Anthropic-reported espionage case. April–June 2026: Full-chain autonomy is demonstrated in labs. July 2026: Real-world autonomous attacks of increasing complexity appear. Two frontier models, Mythos and GPT-5.5, completed a 32-step attack chain against an emulated enterprise with no human help. The test environment had no defenders. The UK AI Security Institute reached a similar finding independently. GPT-5.5 was the second model to solve its end-to-end corporate network attack simulation, a task AISI estimates would take a human about 20 hours. Open-weight models lag closed models at orchestrating attacks by about seven months. In the wild, early July 2026 saw the first documented automated ransomware extortion attack, named JADEPUFFER by Sysdig. Microsoft has seen AI-orchestrated intrusions that share elements with it. Initial access consistently came from internet-exposed services running known-vulnerable software. The report is measured on this point. Volumes of AI-orchestrated activity remain low. In most observed real-world operations, complex end-to-end intrusions still retain meaningful human direction. The Red Team's framing is the most useful one: AI doesn't create a new class of attack, it collapses the effort needed to find and exploit existing attack paths. Trend 3: AI has become an attack surface The report's second takeaway is that attackers are already targeting AI itself. The adoption numbers explain why. 88% of enterprises are experimenting with agents, and 82% of leaders plan broader rollouts within 12–18 months. The report cites industry projections of roughly 1.3 billion agents in production by 2028. What attackers are doing to AI systems: Four techniques accounted for roughly 90% of observed attack activity in telemetry from Azure AI workloads: malicious link injection (52%), jailbreaks (16%), tool and agent abuse (12%), and identity and credential abuse (10%). Memory poisoning: An attacker who can place content anywhere an agent reads can often place it where the agent remembers. Email is the dominant pathway the Red Team has observed. Human-in-the-loop isn't a complete control: Red team testing saw approval prompts ignored, or bypassed by a policy stored in poisoned memory. Developer tools turned against their owners: The "s1ngularity" malware hijacked locally installed AI command-line tools to hunt for secrets. It leaked about 2,000 secrets and 20,000 files across 225 victims. AI browsers: In daily use at more than 40% of organisations in Microsoft's dataset, they were the initial infection vector in incidents involving 57 malware families in a May 2026 analysis. Chat histories as a target: Malicious AI-assistant extensions reached nearly 900,000 installs and more than 20,000 enterprise tenants, harvesting AI chat histories that often contain code, architecture and credentials. The identity implications are direct. Each agent needs its own identity, not one borrowed from an employee, and a named human sponsor. The report also treats revocation latency, the time to cut off a compromised agent, as a measured outcome. Trend 4: The front door is still identity AI changes the speed and personalisation of social engineering. It hasn't changed where attacks start. Initial access in Defender Experts data: User execution: 30% Valid accounts: 20% Malicious copy-and-paste: 13% Phishing: 11% Together, user execution and valid accounts account for over half of observed activity. In incident response engagements, phishing as an initial access vector jumped from 7% to 23% year on year. The standout numbers: ClickFix: Defender saw user-pasted malicious commands on more than 1.1 million unique devices between February and early May 2026, roughly an 8x increase. AiTM: URLs accounted for 45% of the identified phishing techniques in the report’s breakdown. Separately, the share of AiTM phishing and token-theft attacks more than doubled during the first six months of 2026, although the report notes that their overall share remained comparatively small. Teams vishing: Weekly confirmed malicious volume increased 502% year on year. Per attempt, 48% of vishing calls kept the victim engaged for more than 20 seconds, and 30% lasted more than one minute. When a call succeeds, attackers can persuade the victim to install a remote-management tool and complete reconnaissance in two minutes or less. Business contact impersonation (BCI): The report introduces this term for conversations that start with a trusted-looking contact. Microsoft detected more than 46 million attacks in 12 months, with a 121% spike in April 2026. The share of first-contact messages that explicitly asked for money or documents fell from 17% to 3%. The first message is deliberately bland, like "Are you at your desk?" Password attacks declined 26% year on year, which the report describes as strong evidence that MFA and passkeys are forcing attackers to pivot. That pivot includes techniques such as fatigue attacks, AiTM phishing and token theft designed to circumvent conventional MFA. Trend 5: Attackers are inheriting trust rather than breaking in The report's headline theme is that risk is increasingly interconnected. Threats travel through the trusted relationships between identities, software supply chains, partners and cloud platforms. The numbers: Supply chain: Major open-source ecosystems saw attacks roughly every ten days, accelerating through Q2 2026. Shai-Hulud 2.0 affected 25,000 repositories. Megalodon backdoored 5,561 GitHub repositories in under six hours. Trusted signing: In May 2026, Microsoft disrupted Fox Tempest, a "malware-signing-as-a-service" operation that obtained genuine certificates for ransomware loaders and infostealers. Microsoft revoked over a thousand fraudulent code-signing certificates. Legitimate access: An unsanctioned remote monitoring tool is now one of the most reliable mid-stage indicators of a human-operated intrusion. Cloud identity: Cloud identity abuse was the most observed technique against critical infrastructure, representing 78% of the technique mix in Microsoft’s data for March to June 2026. Hybrid intrusions: The Storm-2885 case showed an attacker using a privileged cloud identity to close and downgrade security alerts. The report says identity governance and alert-handling workflows deserve Tier 0 treatment. Dwell time: DART data shows a statistically significant increase in dwell time year on year, meaning organisations took longer to detect intrusions. Ransomware shows the same ecosystem pattern. Qilin led leak-site data with 16.4% of victims, up 386%. Defender detections tell a different story, with Akira at 22%. Trend 6: Defence works best when it's connected The report is not only a catalogue of threats. The strongest defensive evidence: Disruption works. Following the March 2026 disruption, Tycoon2FA activity had fallen 95% from its November 2025 peak by June. Its share of CAPTCHA-gated phishing declined from 76% in December 2025 to 12% in June 2026. Correlation is the highest-leverage variable. The report argues that how well defenders share and correlate signals across endpoint, identity, cloud, email and network is one of the highest-leverage strategic variables under their control. AI is also changing defensive operations. The report describes AI-assisted triage, incident summarisation, hunting-query generation and detection engineering as ways to accelerate investigations and allow analysts to concentrate on higher-value work. Automated disruption can compress response time. The report says that when a correlated incident reaches a defined confidence threshold, defensive systems can automatically isolate devices, disable compromised accounts, revoke sessions or quarantine affected cloud resources. It also stresses the importance of appropriate governance and human oversight for high-risk AI actions. The report also recommends changing what leaders measure. It suggests moving from patches deployed to exposure reduced, detection coverage increased and time-to-mitigate compressed. What the MDDR recommends: ten security priorities The report starts its recommendations with the foundations: Secure by Design, Secure by Default and Secure Operations, applied through identity-centric Zero Trust. Microsoft says these keep the priorities below durable as AI adds more identities, applications, agents and dependencies to govern. Govern cyber risk at leadership level. Report identity exposure, patch latency, agent permissions, critical dependencies, dwell time and recovery readiness to the board. Defend identity as the primary control plane. Deploy passkeys and phishing-resistant MFA, reduce privilege and govern human and non-human identities. Invalidate and rotate tokens and session credentials quickly. Establish governance, visibility and data controls for AI. Keep visibility of approved AI tools, services and agents, and monitor for unauthorised or unmanaged use. Apply sensitivity-aware access and data protection to the data those systems can reach. Reduce exposure and edge risk. Continuously discover internet-facing assets and patch edge devices quickly. Centralise high-fidelity logging, enforce strong authentication and combine network visibility with threat intelligence. Focus on cross-signal correlation. Correlate endpoint, identity, cloud, application, email and network signals to detect intrusions earlier. Correlation also helps defenders anticipate attack paths and likely targets. Enact a continuous threat and vulnerability management model. Combine asset visibility, vulnerability identification, threat detection and AI-accelerated insight into a single continuous programme. Validate exposure through proactive testing. Run assume-breach exercises on cloud services, SaaS platforms, APIs and workflow automation. Prioritise them by where your highest-value data is stored, accessed or aggregated. Secure software dependencies. Harden software installation, keep a software inventory and validate provenance. Monitor packages and prepare for rapid containment. Participate in collective defence. Share actionable threat indicators and victim-informed intelligence with trusted partners and law enforcement. This supports coordinated tracking, investigation and disruption. Prepare for long-horizon technology transitions. Build a cryptographic inventory and advance post-quantum planning alongside AI governance. Read together, the numbers tell one story: the attacker’s workflow is becoming faster and less expensive. AI can shorten vulnerability discovery, exploitation, secret discovery and lateral movement, while organisations still face the slower operational work of testing, coordinating and deploying safe changes across complex environments. At the same time, agent identities can proliferate faster than organisations can inventory, govern and revoke them The defining question for boards today is not whether disruption will occur, but whether the organization can continue operating, contain harm, recover quickly, and maintain trust when it does. Source: Microsoft Digital Defense Report 2026, Version 1.1. Reporting period: July 2025–June 2026.Learn more about Microsoft Security Communities.
In the last five years, Microsoft has increased the emphasis on community programs – specifically within the security, compliance, and management space. These communities fall into two categories: Public and Private (or NDA only). In this blog, we will share a breakdown of each community and how to join.Retired: The Data Loss Prevention Ninja Training is here!
August 2025: New Ninja training can be found at https://aka.ms/DLPNinja RETIRED July 2025: Under Construction for new hosting location The Microsoft Purview Data Loss Prevention Ninja Training is here! We are very excited and pleased to announce this rendition of the Ninja Training Series. With all the other training out there, our team has been working diligently to get this content out there. There are several videos and resources out there and the overall purpose of the Microsoft Purview Data Loss Prevention Ninja training is to help you master this realm. We aim to get you up-to-date links to the community blogs, training videos, Interactive Guides, learning paths, and any other relevant documentation. To make it easier for you to start and advance your knowledge gradually without throwing you in deep waters, we split content in each offering into three levels: beginner, intermediate, and advanced. Please find the Microsoft Purview Information Protection Ninja Training here. In addition, after each section, there will be a knowledge check based on the training material you’d have just finished! Since there’s a lot of content, the goal of these knowledge checks is to help you determine if you were able to get a few of the major key takeaways. There’ll be a fun certificate issued at the end of the training: Disclaimer: This is NOT an official Microsoft certification and only acts as a way of recognizing your participation in this training content. Lastly, this training will be updated one to two times a year to ensure you all have the latest and greatest material! If there's any topic you'd like for us to include and/or have any thoughts on this training, please let us know what you think below in the comments! Legend/Acronyms (D) Microsoft Documentation (V) Video (B) Blog (P) PDF (S) Site (SBD) Scenario Based Demo (Video) (DAG) Deployment Acceleration Guide MIP Microsoft Information Protection (old terminology for Microsoft Purview Information Protection) AIP Azure Information Protection ULC Unified Labeling Client SIT Sensitive Information Type RBAC Role-based access control eDLP Endpoint DLP OME Office 365 Message Encryption EDM Exact Data Match DLP Data Loss Prevention SPO SharePoint Online OCR Optical character recognition MCAS Microsoft Cloud App Security (old terminology for Microsoft Defender for Cloud Apps) TC Trainable Classifiers ODSP OneDrive SharePoint EXO Exchange Online Microsoft Purview Data Loss Prevention (DLP) Microsoft’s DLP solution provides a broad range of capabilities to address the modern workplace and the unique challenges represented by these very different scenarios. One of the key investment areas is in providing a unified and comprehensive solution across the many different kinds of environments and services where sensitive data is stored, used or shared. This includes platforms native to Microsoft and also non-Microsoft services and apps. Beginner Training Public forums to contact the overall information protection team Yammer Tech Community Introducing Microsoft Purview (V) In this video, hear from Microsoft executives on this new product family and our vision for the future of data governance. Introduction to Microsoft Purview Data Loss Prevention? (V) In this video, you’ll find an overview on Microsoft Purview Data Loss Prevention. Quick overview on new Exchange DLP Predicates (V) This video provides a quick walk through on creating an Exchange DLP policy and a soft focus on the new predicates and actions. Microsoft Purview Information Protection Framework (D) Check out the above documentation to see how Microsoft Purview Information Protection uses 3 pillars to deploy an information protection solution. Protect Data with Zero Trust (LP) Zero Trust isn't a tool or product, it's an essential security strategy, with data at its core. Here, you'll learn how to identify and protect your data using a Zero Trust approach. Learn about data loss prevention (D) Learn about DLP basics and Microsoft Unified DLP and why it’s uniquely positioned to protect your data in the cloud. How to secure your data with Microsoft Security (V) The above video is a quick summary on how to protect your data. Microsoft Purview Information Protection and Data Loss Prevention Roadmap (S) Please check out the above site on the latest items on our public roadmap. Microsoft Purview Information Protection support for PDF and GitHub (V) and Ignite Conversation (V) The above videos walk through announcements regarding support for PDF and GitHub Microsoft Defender for Cloud Apps integration (D) Please visit the above documentation to learn more about how Microsoft Purview Information Protection integrates with Microsoft Defender for Cloud Apps Trainable Classifiers (D) Check out the documentation to create custom trainable classifiers. Retrain a classifier in content explorer (D) The above documentation shows you how to improve the performance of custom trainable classifiers by providing them more feedback. Explain data loss prevention reporting capabilities (LP) The above learning path walks you through reporting in the Microsoft Purview Compliance Portal. Review and analyze data loss prevention reports (LP) The above learning path walks you through analyzing reports in the Microsoft Purview Compliance Portal. Beginner Knowledge Check Intermediate Training Microsoft Compliance Extension for Chrome (B) aka Microsoft Purview Extension (D) Please check out the above blog and Microsoft Doc to understand what we’re doing to expand our DLP capabilities to Chrome. Microsoft Purview extension for Firefox (D) The above documentation details procedures to roll out the Microsoft Purview extension for Firefox. Data Loss Prevention and Endpoint DLP (V) This video details how Microsoft approaches information protection across Files, emails, Teams, endpoints and others. How DLP works between the Compliance portal and Exchange admin center (D) You can create a data loss prevention (DLP) policy in two different admin centers; the above document walks through the differences and similarities. Data Loss Prevention across endpoints, apps, & services | Microsoft Purview (V) This video walks you through how to protect sensitive data everywhere you create, view, and access information with one Data Loss Prevention policy in Microsoft Purview. Data Loss Prevention Policy Tips Reference Guide (D) and Quick Overview (V) Please check out the above documentation and short video on where we support policy tips. Create a DLP Policy for Microsoft 365 Online Services (IG) Please use the above interactive guide to see how to create DLP policies. Apply Microsoft Purview Endpoint DLP to Devices (IG) Please use the above interactive guide to see how to create Endpoint DLP policies. Sites for testing documentation (S) The above site details locations where you can get sample data. Scope of DLP Protection for Microsoft Teams (D) The above documentation walks through how DLP protection is applied differently to Teams entities. Manage DLP alerts in the Microsoft Purview compliance portal (LP) The above learning path walks you through managing DLP alerts. Endpoint activities you can monitor and best practices (LP) The above learning path walks you through Endpoint DLP activities and best practices. Troubleshoot and Manage Microsoft Purview Data Loss Prevention for your Endpoint Devices (B) The above blog goes through a quick guide to troubleshooting Endpoint DLP. Microsoft Purview DLP Interactive Guides (IG) Please visit the above home page to see the latest interactive guides walking you through DLP. Learn how to investigate Microsoft Purview Data Loss Prevention alerts in Microsoft 365 Defender (B) This blog is a step-by-step guided walkthrough of the Microsoft 365 Defender Analyst experience for Microsoft Purview Data Loss Prevention (DLP) incident management. Intermediate Knowledge Check Advanced Training Microsoft Defender for Cloud Apps and Data Loss Preventions (D) Please check out the documentation above detailing how the integration to Microsoft Defender for Cloud Apps further enhances your data loss prevention plan. Power BI: Learn about centralized data loss prevention policies (V) This video highlights DLP capabilities with Power BI. Take a unified and comprehensive approach to prevent data exfiltration with Microsoft (V) This video helps show how we can help you prevent unauthorized sharing, use, and transfer of sensitive information across your applications, services, endpoints, and on-premises file shares – all from a single place. Onboard macOS devices into Microsoft 365 (D), capability announcement (B), and additional screengrabs (B) Please use the documentation above to deploy macOS devices into Endpoint DLP and check out the blog to see a few screengrabs on how the user experience. Troubleshooting Guides (D) Resolve issues that affect DLP policy tips Changes to a data loss prevention policy don't take effect in Outlook 2013 in Microsoft 365 DLP policy tips in Security and Compliance Center don't work in OWA/Outlook How to troubleshoot data loss prevention policy tips in Exchange Online Protection in Microsoft 365 Please check out the below documentation to find guides on common issues. Securing data in an AI-first world with Microsoft Purview (B) The above blog details some new updates on AI with Microsoft Purview. Common questions on Microsoft Purview Data Loss Prevention for endpoints (B) This guide covers the top-of-mind FAQs on Microsoft Purview Data Loss Prevention for endpoints (referred to as Endpoint DLP in the blog). Guidance for investigating Microsoft Purview Data Loss Prevention incidents (B) This blog provides guidance for choosing the best investigation experience suited for your organization when using Microsoft Purview Data Loss Prevention. Data Loss Prevention: From on-premises to cloud (PDF) This whitepaper focuses on why you should move to cloud-native data loss prevention. The Microsoft Purview DLP Migration Assistant for Symantec (IG) Follow the above IG to get guidance on migrating from Symantec to Microsoft Purview DLP. Migrating from Windows Information Protection to Microsoft Purview (B) The above blog gives guidance on how to migrate from WIP to the Microsoft Purview stack. Insider Risk in Conditional Access | Microsoft Entra + Microsoft Purview Adaptive Protection (V) The above video goes through how to protect your organization from insider threats with Microsoft Entra's Conditional Access and Adaptive Protection in Microsoft Purview. Please check out this link for a blog with more details. (B) Protect sensitive data throughout its Copilot journey (B) The above details how the native integration enables organizations to leverage the power of GenAI when working with sensitive data as Copilot can understand and honor the controls such as encryption and provide comprehensive visibility into usage. Protect at the speed and scale of AI with Copilot for Security in Microsoft Purview (B) The above blog details the embedded experiences of Copilot for Security in Microsoft Purview (Communication Compliance, Data Loss Prevention, Insider Risk Management, and eDiscovery. Strengthen protection to mitigate data overexposure in GenAI tools with data classification/labeling (B) The blog above goes into detail on OCR, its cost, and how it goes into the AI Realm with Microsoft Purview Information Protection and Data Loss Prevention. Microsoft Purview Exact Data Match (EDM) support for multi-token corroborative evidence (B) The above blog goes into the new feature that improves the accuracy and effectiveness of EDM detection. Advanced Knowledge Check Once you’ve finished the training and the knowledge checks, please go to our attestation portal to generate your certificate; you'll see it in your inbox within 3-5 business days (Coming Soon). We hope you enjoy this training!Microsoft Defender for Cloud Apps - Ninja Training
Welcome to our Ninja Training for Microsoft Defender for Cloud Apps! Are you trying to protect your SaaS applications? Are you concerned about the posture of the apps you are using? Is shadow IT or AI a concern of yours? Then you are in the right place. The training below will aggregate all the relevant resources in one convenient location for you to learn from. Let’s start here with a quick overview of Microsoft Defender for Cloud Apps’ capabilities. Microsoft Defender for Cloud Apps | Microsoft Security Overview of Microsoft Defender for Cloud Apps and the capability of a SaaS Security solution. Overview - Microsoft Defender for Cloud Apps | Microsoft Learn Understand what Microsoft Defender for Cloud Apps is and read about its main capabilities. Quick Start The basic features of Defender for Cloud Apps require almost no effort to deploy. The recommended steps are to: Connect your apps Enable App Discovery Enable App Governance After enabling these features, all default detections and alerts will start triggering in the Microsoft Defender XDR console, and give you tremendous value with minimal configuration. Simplified SaaS Security Deployment with Microsoft Defender for Cloud Apps | Virtual Ninja Training Step-by-step video on how to quickly deploy Defender for Cloud Apps Get started - Microsoft Defender for Cloud Apps This quickstart describes how to start working with Microsoft Defender for Cloud Apps on the Microsoft Defender Portal. Review this if you prefer text to video Basic setup - Microsoft Defender for Cloud Apps The following procedure gives you instructions for customizing your Microsoft Defender for Cloud Apps environment. Connect apps to get visibility and control - Microsoft Defender for Cloud Apps App connectors use the APIs of app providers to enable greater visibility and control by Microsoft Defender for Cloud Apps over the apps you connect to. Make sure to connect all your available apps as you start your deployment Turn on app governance in Microsoft Defender for Cloud Apps App governance in Defender for Cloud Apps is a set of security and policy management capabilities designed for OAuth-enabled apps registered on Microsoft Entra ID, Google, and Salesforce. App governance delivers visibility, remediation, and governance into how these apps and their users access, use, and share sensitive data in Microsoft 365 and other cloud platforms through actionable insights out-of-the box threat detections, OAuth apps attack disruption, automated policy alerts and actions. It only takes a few minutes to enable and provide full visibility on your users’ Oauth app consents Shadow IT Discovery - Integrate with Microsoft Defender for Endpoint This article describes the out-of-the-box integration available between Microsoft Defender for Cloud Apps and Microsoft Defender for Endpoint, which simplifies cloud discovery and enabling device-based investigation. Control cloud apps with policies Policies in Microsoft Defender for Cloud Apps help define user behavior in the cloud, detect risky activities, and enable remediation workflows. There are various types of policies, such as Activity, Anomaly Detection, OAuth App, Malware Detection, File, Access, Session, and App Discovery policies. These policies help mitigate risks like access control, compliance, data loss prevention, and threat detection. Detect Threats and malicious behavior After connecting your cloud apps in Defender for Cloud Apps, you will start seeing alerts in your XDR portal. Here are resources to learn more about these alerts and how to investigate them. Note that we are constantly adding new built-in detections, and they are not necessarily part of our public documentation. How to manage incidents - Microsoft Defender XDR Learn how to manage incidents, from various sources, using Microsoft Defender XDR. How to investigate anomaly detection alerts Microsoft Defender for Cloud Apps provides detections for malicious activities. This guide provides you with general and practical information on each alert, to help with your investigation and remediation tasks. Note that detections are added on a regular basis, and not all of them will have entries in this guide. Configure automatic attack disruption in Microsoft Defender XDR - Microsoft Defender XDR | Microsoft Learn Learn how to take advantage of XDR capabilities to automatically disrupt high confidence attacks before damage is done. OAuth apps are natively integrated as part of Microsoft XDR. Create activity policies - Microsoft Defender for Cloud Apps | Microsoft Learn In addition to all the built-in detections as part of Microsoft Defender for Cloud Apps, you can also create your own policies, including Governance actions, based on the Activity log captured by Defender for Cloud Apps. Create and manage custom detection rules in Microsoft Defender XDR - Microsoft Defender XDR | Microsoft Learn Learn how to leverage XDR custom detection rules based on hunting data in the platform. CloudAppEvents table in the advanced hunting schema - Microsoft Defender XDR | Microsoft Learn Learn about the CloudAppEvents table which contains events from all connected applications with data enriched by Defender for Cloud Apps in a common schema. This data can be hunted across all connected apps and your separate XDR workloads. Investigate behaviors with advanced hunting - Microsoft Defender for Cloud Apps | Microsoft Learn Learn about behaviors and how they can help with security investigations. Investigate activities - Microsoft Defender for Cloud Apps | Microsoft Learn Learn how to search the activity log and investigate activities with a simple UI without the need for KQL App Governance – Protect from App-to-App attack scenario App governance in Microsoft Defender for Cloud Apps is crucial for several reasons. It enhances security by identifying and mitigating risks associated with OAuth-enabled apps, which can be exploited for privilege escalation, lateral movement, and data exfiltration. Organizations gain clear visibility into app compliance, allowing them to monitor how apps access, use, and share sensitive data. It provides alerts for anomalous behaviors, enabling quick responses to potential threats. Automated policy alerts and remediation actions help enforce compliance and protect against noncompliant or malicious apps. By governing app access, organizations can better safeguard their data across various cloud platforms. These features collectively ensure a robust security posture, protecting both data and users from potential threats. Get started with App governance - Microsoft Defender for Cloud Apps Learn how app governance enhances the security of SaaS ecosystems like Microsoft 365, Google Workspace, and Salesforce. This video details how app governance identifies integrated OAuth apps, detects and prevents suspicious activity, and provides in-depth monitoring and visibility into app metadata and behaviors to help strengthen your overall security posture. App governance in Microsoft Defender for Cloud Apps and Microsoft Defender XDR - Microsoft Defender for Cloud Apps | Microsoft Learn Defender for Cloud Apps App governance overview Create app governance policies - Microsoft Defender for Cloud Apps | Microsoft Learn Many third-party productivity apps request access to user data and sign in on behalf of users for other cloud apps like Microsoft 365, Google Workspace, and Salesforce. Users often accept these permissions without reviewing the details, posing security risks. IT departments may lack insight into balancing an app's security risk with its productivity benefits. Monitoring app permissions provides visibility and control to protect your users and applications. App governance visibility and insights - Microsoft Defender for Cloud Apps | Microsoft Learn Managing your applications requires robust visibility and insight. Microsoft Defender for Cloud Apps offers control through in-depth insights into user activities, data flows, and threats, enabling effective monitoring, anomaly detection, and compliance Reduce overprivileged permissions and apps Recommendations for reducing overprivileged permissions App Governance plays a critical role in governing applications in Entra ID. By integrating with Entra ID, App Governance provides deeper insights into application permissions and usage within your identity infrastructure. This correlation enables administrators to enforce stringent access controls and monitor applications more effectively, ensuring compliance and reducing potential security vulnerabilities. This page offers guidelines for reducing unnecessary permissions, focusing on the principle of least privilege to minimize security risks and mitigate the impact of breaches. Investigate app governance threat detection alerts List of app governance threat detection alerts classified according to MITRE ATT&CK and investigation guidance Manage app governance alerts Learn how to govern applications and respond to threat and risky applications directly from app governance or through policies. Hunt for threats in app activities Learn how to hunt for app activities directly form the XDR console (Microsoft 365 Connector required as discussed in quick start section). How to Protect Oauth Apps with App Governance in Microsoft Defender for Cloud Apps Webinar | How to Protect Oauth Apps with App Governance in Microsoft Defender for Cloud Apps. Learn how to protect Oauth applications in your environment, how to efficiently use App governance within Microsoft Defender for Cloud Apps to protect your connected apps and raise your security posture. App Governance is a Key Part of a Customers' Zero Trust Journey Webinar| learn about how the app governance add-on to Microsoft Defender for Cloud Apps is a key component of customers' Zero Trust journey. We will examine how app governance supports managing to least privilege (including identifying unused permissions), provides threat detections that are able and have already protected customers, and gives insights on risky app behaviors even for trusted apps. App Governance Inclusion in Defender for Cloud Apps Overview Webinar| App governance overview and licensing requirements. Frequently asked questions about app governance App governance FAQ Manage the security Posture of your SaaS (SSPM) One of the key components of Microsoft Defender for Cloud Apps is the ability to gain key information about the Security posture of your applications in the cloud (AKA: SaaS). This can give you a proactive approach to help avoid breaches before they happen. SaaS Security posture Management (or SSPM) is part the greater Exposure Management offering, and allows you to review the security configuration of your key apps. More details in the links below: Transform your defense: Microsoft Security Exposure Management | Microsoft Secure Tech Accelerator Overview of Microsoft Exposure Management and it’s capabilities, including how MDA & SSPM feed into this. SaaS Security Posture Management (SSPM) - Overview - Microsoft Defender for Cloud Apps | Microsoft Learn Understand simply how SSPM can help you increase the safety of your environment Turn on and manage SaaS security posture management (SSPM) - Microsoft Defender for Cloud Apps | Microsoft Learn Enabling SSPM in Defender for Cloud Apps requires almost no additional configuration (as long as your apps are already connected), and no extra license. We strongly recommend turning it on, and monitoring its results, as the cost of operation is very low. SaaS Security Initiative - Microsoft Defender for Cloud Apps | Microsoft Learn The SaaS Security Initiative provides a centralized place for software as a service (SaaS) security best practices, so that organizations can manage and prioritize security recommendations effectively. By focusing on the most impactful metrics, organizations can enhance their SaaS security posture. Secure your usage of AI applications AI is Information technologies’ newest tool and strongest innovation area. As we know it also brings its fair share of challenges. Defender for Cloud Apps can help you face these from two different angles: - First, our App Discovery capabilities give you a complete vision of all the Generative AI applications in use in an environment - Second, we provide threat detection capabilities to identify and alert from suspicious usage of Copilot for Microsoft 365, along with the ability to create custom detection using KQL queries. Secure AI applications using Microsoft Defender for Cloud Apps Overview of Microsoft Defender for Cloud Apps capabilities to secure your usage of Generative AI apps Step-by-Step: Discover Which Generative AI Apps Are Used in Your Environment Using Defender for Cloud Apps Detailed video-guide to deploy Discovery of Gen AI apps in your environment in a few minutes Step-by-Step: Protect Your Usage of Copilot for M365 Using Microsoft Defender for Cloud Apps Instructions and examples on how to leverage threat protection and advanced hunting capabilities to detect any risky or suspicious usage of Copilot for Microsoft 365 Get visibility into DeepSeek with Microsoft Defender for Cloud Apps Understand how fast the Microsoft Defender for Cloud Apps team can react when new apps or new threats come in the market. Discover Shadow IT applications Shadow IT and Shadow AI are two big challenges that organizations face today. Defender for Cloud Apps can help give you visibility you need, this will allow you to evaluate the risks, assess for compliance and apply controls over what can be used. Getting started The first step is to ensure the relevant data sources are connected to Defender for Cloud Apps to provide you the required visibility: Integrate Microsoft Defender for Endpoint - Microsoft Defender for Cloud Apps | Microsoft Learn The quickest and most seamless method to get visibility of cloud app usage is to integrate MDA with MDE (MDE license required). Create snapshot cloud discovery reports - Microsoft Defender for Cloud Apps | Microsoft Learn A sample set of logs can be ingested to generate a Snapshot. This lets you view the quality of the data before long term ingestion and also be used for investigations. Configure automatic log upload for continuous reports - Microsoft Defender for Cloud Apps | Microsoft Learn A log collector can be deployed to facilitate the collection of logs from your network appliances, such as firewalls or proxies. Defender for Cloud Apps cloud discovery API - Microsoft Defender for Cloud Apps | Microsoft Learn MDA also offers a Cloud Discovery API which can be used to directly ingest log information and mitigate the need for a log collector. Evaluate Discovered Apps Once Cloud Discovery logs are being populated into Defender for Cloud Apps, you can start the process of evaluating the discovered apps. This includes reviewing their usage, user count, risk scores and compliance factors. View discovered apps on the Cloud discovery dashboard - Microsoft Defender for Cloud Apps | Microsoft Learn View & evaluate the discovered apps within Cloud Discovery and Generate Cloud Discovery Executive Reports Working with the app page - Microsoft Defender for Cloud Apps | Microsoft Learn Investigate app usage and evaluate their compliance and risk factors Discovered app filters and queries - Microsoft Defender for Cloud Apps | Microsoft Learn Apply granular filtering and app tagging to focus on apps that are important to you Work with discovered apps via Graph API - Microsoft Defender for Cloud Apps | Microsoft Learn Investigate discovered apps via the Microsoft Graph API Add custom apps to cloud discovery - Microsoft Defender for Cloud Apps | Microsoft Learn You can add custom apps to the catalog which can then be matched against log data. This is useful for LOB applications. Govern Discovered Apps Having evaluated your discovered apps, you can then take some decisions on what level of governance and control each of the applications require and whether you want custom policies to help govern future applications: Govern discovered apps using Microsoft Defender for Endpoint - Microsoft Defender for Cloud Apps | Microsoft Learn Setup governance enforcement actions when using Microsoft Defender for Endpoint Govern discovered apps - Microsoft Defender for Cloud Apps | Microsoft Learn Apply governance actions to discovered apps from within the Cloud Discovery area Create cloud discovery policies - Microsoft Defender for Cloud Apps | Microsoft Learn Create custom Cloud Discovery policies to identify usage, alert and apply controls Operations and investigations - Sample AH queries - Tips on investigation - (section for SOC) Advanced Hunting Compromised and malicious applications investigation | Microsoft Learn Investigate anomalous app configuration changes Impersonation and EWS in Exchange | Microsoft Learn Audits impersonate privileges in Exchange Online Advanced Hunting Queries Azure-Sentinel/Solutions/Microsoft Entra ID/Analytic Rules/ExchangeFullAccessGrantedToApp.yaml at master · Azure/Azure-Sentinel · GitHub This detection looks for the full_access_as_app permission being granted to an OAuth application with Admin Consent. This permission provide access to all Exchange mailboxes via the EWS API can could be exploited to access sensitive data by being added to a compromised application. The application granted this permission should be reviewed to ensure that it is absolutely necessary for the applications function Azure-Sentinel/Solutions/Microsoft Entra ID/Analytic Rules/AdminPromoAfterRoleMgmtAppPermissionGrant.yaml at master · Azure/Azure-Sentinel · GitHub This rule looks for a service principal being granted permissions that could be used to add a Microsoft Entra ID object or user account to an Admin directory role. Azure-Sentinel/Solutions/Microsoft Entra ID/Analytic Rules/SuspiciousOAuthApp_OfflineAccess.yaml at master · Azure/Azure-Sentinel · GitHub Offline access will provide the Azure App with access to the listed resources without requiring two-factor authentication. Consent to applications with offline access and read capabilities should be rare, especially as the known Applications list is expanded Best Practice recommendations Common threat protection policies - Microsoft Defender for Cloud Apps | Microsoft Learn Common Defender for Cloud Apps Threat Protection policies Recommended Microsoft Defender for Cloud Apps policies for SaaS apps | Microsoft Learn Recommended Microsoft Defender for Cloud Apps policies for SaaS apps Best practices for protecting your organization - Microsoft Defender for Cloud Apps | Microsoft Learn Best practices for protecting your organization with Defender for Cloud Apps Completion certificate! Click here to get your shareable completion certificate!! Advanced configuration Training Title Description Importing user groups from connect apps This article outlines the steps on how to import user groups from connected apps Manage Admin Access This article describes how to manage admin access in Microsoft Defender for Cloud Apps. Configure MSSP Access In this video, we walk through the steps on adding Managed Security Service Provider (MSSP) access to Microsoft Defender for Cloud Apps. Provide managed security service provider (MSSP) access - Microsoft Defender XDR | Microsoft Learn Provide managed security service provider (MSSP) access Integrate with Secure Web Gateways Microsoft Defender for Cloud Apps integrates with several secure web gateways available in the market. Here are the links to configure this integration. Integrate with Zscaler Integrate with iboss Integrate with Corrata Integrate with Menlo Additional resources Microsoft Defender for Cloud Apps Tech Community This is a Microsoft Defender for Cloud Apps Community space that allows users to connect and discuss the latest news, upgrades, and best practices with Microsoft professionals and peers.Become an Insider Risk Management Ninja
We are very excited and pleased to announce this rendition of the Ninja Training Series. There are several videos and resources out there and the overall purpose of the Insider Risk Management Ninja training is to help you get the relevant resources to get started and become more proficient in this area.Become a Communication Compliance Ninja
** Updated June 2023 ** We are very excited and pleased to announce this rendition of the Ninja Training Series. There are several videos and resources out there and the overall purpose of the Communication Compliance Ninja training is to help you get the relevant resources to get started and become more proficient in this area.
