Security Copilot for SOC: bringing agentic AI to every defender
Cybersecurity has entered an era of relentless complexity. As threat actors increasingly leverage artificial intelligence to automate attacks, evade detection, and scale their tactics, defenders are challenged to keep up. In this new era, security operations centers (SOCs) must transform to not just react, but to anticipate, disrupt, and outpace the next wave of cyberthreats. Microsoft’s goal is to empower every organization to meet this challenge head-on by transforming how security operates. We believe the future of the SOC is more than just agentic: it’s predictive and proactive. This means moving beyond fragmented tools and manual processes, and instead embracing a unified, intelligent approach where AI-driven skills and agents work in concert with human expertise. To bring this vision to life, it’s essential to look at the SOC through the lens of its lifecycle—a dynamic continuum that spans from anticipation and prevention through to recovery and optimization—and to recognize the unique challenges and opportunities within each stage. With Security Copilot’s GenAI and agentic capabilities woven across this lifecycle, Microsoft is delivering an integrated defense platform that enables defenders to move faster, act smarter, and stay ahead of adversaries. Introducing agentic innovation across the SOC lifecycle At Ignite, our agentic innovations are concentrated in three of the five SOC lifecycle pillars, and each one represents a leap forward in how analysts anticipate, detect, triage and investigate threats. Predict and prevent Threat Intelligence Briefing Agent: Introduced in March, this agent has already helped security teams move from reactive to anticipatory defense. At Ignite, we’re announcing that the Threat Intelligence Briefing Agent is now fully embedded in the Microsoft Defender portal, delivering daily, tailored briefings that synthesize Microsoft’s unparalleled global intelligence with organization-specific context in just minutes. Teams no longer need to spend hours gathering TI from disparate sources—the agent automates this process, offering the most current and relevant insights. Analysts can reference the summary to prioritize action, using the agent’s risk assessments, clear recommendations, and links to vulnerable assets to proactively address exposures. Detect and disrupt Dynamic Threat Detection Agent: Detections have long been bottlenecked by the limitations of traditional alerting systems, which rely on predefined logic that can’t scale fast enough to match the speed and variability of modern attacks— resulting in blind spots and missed threats. The Dynamic Threat Detection Agent addresses this challenge head-on. Instead of depending on static rules or isolated input, it continuously analyzes incidents and telemetry, searching for gaps in coverage and correlating signals across the entire security stack. For example, this is how it surfaced a recent AWS attack: a threat actor used an EntraID account to federate into an AWS admin account to exfiltrate sensitive data. The Dynamic Threat Detection Agent generated an alert before the intruder even authenticated into the single sign-on flow, driven by a correlated signal from Sentinel. That alert didn’t exist beforehand; the agent created it on the fly to stop the attack. The result is an adaptive system that extends Microsoft’s industry-leading, research-based detections with context-aware alerts tailored to each organization, closing gaps and revealing threats that legacy systems miss. Triage and investigate Security Alert Triage Agent (previously named Phishing Triage Agent): In March 2025, we introduced the Security Alert Triage Agent, built to autonomously handle user-submitted phishing reports at scale. The agent classifies incoming alerts and resolves false positives, escalating only the malicious cases that require human expertise. At Microsoft Ignite, we’re announcing its general availability, backed by strong early results: the agent identifies 6.5 times more malicious alerts, improves verdict accuracy by 77%, and frees analysts to spend 53% more time investigating real threats. St. Luke’s even said it’s saving their team nearly 200 hours each month. Coming soon, we’ll be extending these autonomous triage capabilities beyond phishing to identity and cloud alerts, bringing the same precision and scale to more SOC workflows. Note: The Phishing Triage Agent has since been expanded and is now called the Security Alert Triage Agent. Learn more at aka.ms/SATA Threat Hunting Agent: this agent reimagines the investigation process. Instead of requiring analysts to master complex query languages or sift through mountains of data, Threat Hunting Agent enables natural language investigations with contextual insight. Analysts can vibe with the agent by asking questions in plain English, receive direct answers, and be guided through comprehensive hunting sessions. It levels up the existing Security Copilot NL2KQL capability by enabling teams to explore patterns, pivot intuitively and uncover hidden signals in real time for a fluid, context-aware experience. This not only accelerates investigations but makes advanced threat hunting accessible to every member of the SOC, regardless of experience level. Agents built into your workflows To make the agents easily accessible and help security teams get started more quickly, we are excited to announce that Security Copilot will be available to all Microsoft 365 E5 customers. Rollout starts today for existing Security Copilot customers with Microsoft 365 E5 and will continue in the upcoming months for all Microsoft 365 E5 customers. Customers will receive 30-day advanced notice before activation. Learn more: https://aka.ms/SCP-Ignite25 Discover more: the Security Store The Security Store, now generally available, is the central hub for discovering, deploying, and managing first-party and third-party security agents. Today, it provides instant access to 20+ agents deployable directly in the Microsoft Defender portal, all within a broader ecosystem of 100+ trusted security solutions. Whether you're investigating incidents, hunting threats, or automating response, the Security Store extends Defender with vetted, scenario-aligned tools that can be set up in minutes. Learn more in this blog. Introducing new GenAI embedded capabilities Security Copilot isn’t just growing through agents—it’s also gaining new embedded capabilities: GenAI skills that help SOC teams work faster, operate at greater scale, and get upleveled directly inside Microsoft Defender. Today, we’re excited to introduce new innovations: Analyst Notes represent a meaningful shift in how investigation work is captured and shared. For organizations that choose to opt into this capability, Copilot automatically reconstructs an analyst’s investigation session—from the moment they open an incident to the moment they close it—and turns that activity into clear, structured notes. The system can even track multiple sessions in parallel and attribute actions to the right incident, and analysts can fully review and edit the generated notes before saving them. This not only saves teams valuable time and effort, it preserves the actual investigation path with far greater accuracy and consistency than manual documentation ever could. The result is a living, cumulative record of how the SOC investigates threats: easier handoffs, stronger auditability, faster onboarding, and a deeper shared understanding of how incidents unfold across multiple SecOps members and phases. Standard Operating Procedures (SOPs) for guided response allows organizations to upload their own internal procedures so Security Copilot can align its recommendations with established guidebooks and compliance requirements. Guided response is one of the ways Copilot helps analysts navigate an incident: it offers one-click actions across triage, containment, investigation and remediation that teams can take immediately. With SOPs uploaded, these recommendations draw directly from organizational workflows and policy standards, ensuring they are contextually relevant and trusted. For defenders, this translates into greater confidence and faster, more consistent decision-making. We’re also eager to share that we’re introducing auto-generated content configuration for Security Copilot’s incident summaries. This new feature allows security admins to decide how and when summaries are produced, choosing between always auto-generating, manual trigger only, or auto-generating based on incident severity. The configuration is managed directly in the Microsoft Defender portal, giving organizations flexibility to fine-tune Copilot’s outputs to their operational needs. Join us at Ignite We invite you to learn more and see these innovations in action at Microsoft Ignite. Don’t miss our featured sessions: Microsoft Defender: Building the agentic SOC with guest Allie Mellen on Wednesday, November 19 th with Allie Mellen, Corina Feuerstein, and Rob Lefferts. Learn more. Empowering the SOC: Security Copilot and the rise of Agentic Defense on Friday, November 21 st with Corina Feuerstein and Cristina da Gama. Learn more. Join us to discover how Microsoft is shaping the future of cybersecurity—making intelligent, agentic defense accessible to every organization.What’s new in Microsoft Defender XDR at Secure 2025
Protecting your organization against cybersecurity threats is more challenging than ever before. As part of our 2025 Microsoft Secure cybersecurity conference announcements, we’re sharing new product features that spotlight our AI-first, end-to-end security innovations designed to help - including autonomous AI agents in the Security Operations Center (SOC), as well as automatic detection and response capabilities. We also share information on how you can expand your protection by bringing data security and collaboration tools closer to the SOC. Read on to learn more about how these capabilities can help your organization stay ahead of today’s advanced threat actors. Expanding AI-Driven Capabilities for Smarter SOC Operations Introducing Microsoft Security Copilot’s Security Alert Triage Agent (previously named Phishing Triage Agent) Today, we are excited to introduce Security Copilot agents, a major step in bringing AI-driven automation to Microsoft Security solutions. As part of this, we’re unveiling our newest innovation in Microsoft Defender: the Security Alert Triage Agent. Acting as a force multiplier for SOC analysts, it streamlines the triage of user-submitted phishing incidents by autonomously identifying and resolving false positives, typically cleaning out over 95% of submissions. This allows teams to focus on the remaining incidents – those that pose the most critical threats. Phishing submissions are among the highest-volume alerts that security teams handle daily, and our data shows that at least 9 in 10 reported emails turn out to be harmless bulk mail or spam. As a result, security teams must sift through hundreds of these incidents weekly, often spending up to 30 minutes per case determining whether it represents a real threat. This manual triage effort not only adds operational strain but also delays the response to actual phishing attacks, potentially impacting protection levels. The Security Alert Triage Agent transforms this process by leveraging advanced LLM-driven analysis to conduct sophisticated assessments –such as examining the semantic content of emails– to autonomously determine whether an incident is a genuine phishing attempt or a false alarm. By intelligently cutting through the noise, the agent alleviates the burden on SOC teams, allowing them to focus on high-priority threats. Figure 1. A phishing incident triaged by the Security Copilot Security Alert Triage Agent To help analysts gain trust in its decision-making, the agent provides natural language explanations for its classifications, along with a visual representation of its reasoning process. This transparency enables security teams to understand why an incident was classified in a certain way, making it easier to validate verdicts. Analysts can also provide feedback in plain language, allowing the agent to learn from these interactions, refine its accuracy, and adapt to the organization’s unique threat landscape. Over time, this continuous feedback loop fine-tunes the agent’s behavior, aligning it more closely with organizational nuances and reducing the need for manual verification. The Security Copilot Security Alert Triage Agent is designed to transform SOC operations with autonomous, AI-driven capabilities. As phishing threats grow increasingly sophisticated and SOC analysts face mounting demands, this agent alleviates the burden of repetitive tasks, allowing teams to shift their focus to proactive security measures that strengthen the organization’s overall defense. Note: The Phishing Triage Agent has since been expanded and is now called the Security Alert Triage Agent. Learn more at aka.ms/SATA Security Copilot Enriched Incident Summaries and Suggested Prompts Security Copilot Incident Summaries in Microsoft Defender now feature key enrichments, including related threat intelligence and asset risk –enhancements driven by customer feedback. Additionally, we are introducing suggested prompts following incident summaries, giving analysts quick access to common follow-up questions for deeper context on devices, users, threat intelligence, and more. This marks a step towards a more interactive experience, moving beyond predefined inputs to a more dynamic, conversational workflow. Read more about Microsoft Security Copilot agent announcements here. New protection across Microsoft Defender XDR workloads To strengthen core protection across Microsoft Defender XDR workloads, we're introducing new capabilities while building upon existing integrations for enhanced protection. This ensures a more comprehensive and seamless defense against evolving threats. Introducing collaboration security for Microsoft Teams Email remains a prevalent entry point for attackers. But the fast adoption of collaboration tools like Microsoft Teams has opened new attack surfaces for cybercriminals. Our advancements within Defender for Office 365 allow organizations to continue to protect users in Microsoft Teams against phishing and other emerging cyberthreats with inline protection against malicious URLs, safe attachments, brand impersonation protection, and more. And to ensure seamless investigation and response at the incident level, everything is centralized across our SOC workflows in the unified security operations platform. Read the announcement here. Introducing Microsoft Purview Data Security Investigations for the SOC Understanding the extent of the data that has been impacted to better prioritize incidents has been a challenge for security teams. As data remains the main target for attackers it’s critical to dismantle silos between security and data security teams to enhance response times. At Microsoft, we’ve made significant investments in bringing SOC and data security teams closer together by integrating Microsoft Defender XDR and Microsoft Purview. We are continuing to build upon the rich set of capabilities and today, we are excited to announce that Microsoft Purview Data Security Investigations (DSI) can be initiated from the incident graph in Defender XDR. Ensuring robust data security within the SOC has always been important, as it helps protect sensitive information from breaches and unauthorized access. Data Security Investigations significantly accelerates the process of analyzing incident related data such as emails, files, and messages. With AI-powered deep content analysis, DSI reveals the key security and sensitive data risks. This integration allows analysts to further analyze the data involved in the incident, learn which data is at risk of compromise, and take action to respond and mitigate the incident faster, to keep the organization’s data protected. Read the announcement here. Figure 2. An incident that shows the ability to launch a data security investigation. OAuth app insights are now available in Exposure Management In recent years, we’ve witnessed a substantial surge in attackers exploiting OAuth applications to gain access to critical data in business applications like Microsoft Teams, SharePoint, and Outlook. To address this threat, Microsoft Defender for Cloud Apps is now integrating OAuth apps and their connections into Microsoft Security Exposure Management, enhancing both attack path and attack surface map experiences. Additionally, we are introducing a unified application inventory to consolidate all app interactions into a single location. This will address the following use cases: Visualize and remediate attack paths that attackers could potentially exploit using high-privilege OAuth apps to access M365 SaaS applications or sensitive Azure resources. Investigate OAuth applications and their connections to the broader ecosystem in Attack Surface Map and Advanced Hunting. Explore OAuth application characteristics and actionable insights to reduce risk from our new unified application inventory. Figure 3. An attack path infused with OAuth app insights Read the latest announcement here AI & TI are critical for effective detection & response To effectively combat emerging threats, AI has become critical in enabling faster detection and response. By combining this with the latest threat analytics, security teams can quickly pinpoint emerging risks and respond in real-time, providing organizations with proactive protection against sophisticated attacks. Disrupt more attacks with automatic attack disruption In this era of multi-stage, multi-domain attacks, the SOC need solutions that enable both speed and scale when responding to threats. That’s where automatic attack disruption comes in—a self-defense capability that dynamically pivots to anticipate and block an attacker’s next move using multi-domain signals, the latest TI, and AI models. We’ve made significant advancements in attack disruption, such as threat intelligence-based disruption announced at Ignite, expansion to OAuth apps, and more. Today, we are thrilled to share our next innovation in attack disruption—the ability to disrupt more attacks through a self-learning architecture that enables much earlier and much broader disruption. At its core, this technology monitors a vast array of signals, ranging from raw telemetry data to alerts and incidents across Extended Detection and Response (XDR) and Security Information and Event Management (SIEM) systems. This extensive range of data sources provides an unparalleled view of your security environment, helping to ensure potential threats do not go unnoticed. What sets this innovation apart is its ability learn from historical events and previously seen attack types to identify and disrupt new attacks. By recognizing similar patterns across data and stitching them together into a contextual sequence, it processes information through machine learning models and enables disruption to stop the attack much earlier in the attack sequence, stopping significantly more attacks in volume and variety. Comprehensive Threat Analytics are now available across all Threat Intelligence reports Organizations can now leverage the full suite of Threat Analytics features (related incidents, impacted assets, endpoints exposure, recommended actions) on all Microsoft Threat Intelligence reports. Previously only available for a limited set of threats, these features are now available for all threats Microsoft has published in Microsoft Defender Threat Intelligence (MDTI), offering comprehensive insights and actionable intelligence to help you ensure your security measures are robust and responsive. Some of these key features include: IOCs with historical hunting: Access IOCs after expiration to investigate past threats and aid in remediation and proactive hunting. MITRE TTPs: Build detections based on threat techniques, going beyond IOCs to block and alert on specific tactics. Targeted Industries: Filter threats by industry, aligning security efforts with sector-specific challenges. We’re proud of our new AI-first innovations that strengthen security protections for our customers and help us further our pledge to customers and our community to prioritize cyber safety above all else. Learn more about the innovations designed to help your organization protect data, defend against cyber threats, and stay compliant. Join Microsoft leaders online at Microsoft Secure on April 9. We hope you’ll also join us in San Francisco from April 27th-May 1 st 2025 at the RSA Conference 2025 to learn more. At the conference, we’ll share live, hands-on demos and theatre sessions all week at the Microsoft booth at Moscone Center. Secure your spot today.Hyperscale ML threat intelligence for early detection & disruption
Co-author: Amir Gharib In today's rapidly evolving cybersecurity landscape, the ability to swiftly identify and mitigate threats is more critical than ever. Attackers are increasingly well-resourced, enabling them to keep adding new components to their toolkits that keep their infrastructure fresh and hard to detect. Traditional labeling methods used to identify and block malicious infrastructure are struggling to keep up. At Microsoft, we recognize the pressing need for innovative solutions that not only keep pace with these threats but stay ahead of them. This past Ignite, we announced Threat Intelligence Tracking via Dynamic Networks (TITAN)—a groundbreaking approach that uses the power of machine learning to transform threat intelligence and attack disruption by automatically neutralizing malicious activity at scale. By leveraging real-time ML-driven analytics, TITAN uncovers previously hidden threat actor infrastructure, enabling the disruption capabilities built into our unified security operations platform to detect and stop attacks significantly earlier in the attack chain (Figure 1). The power of machine-scale threat intelligence TITAN represents a new wave of innovation built on Microsoft threat intelligence capabilities, introducing a real-time, adaptive threat intelligence (TI) graph that integrates first and third-party telemetry from the unified security operations platform, Microsoft Defender for Threat Intelligence, Microsoft Defender for Experts, and customer feedback. This graph employs guilt-by-association techniques to propagate known TI labels to unknown neighboring entities (e.g., IP, file, email) at machine scale. By analyzing relationships between entities, TITAN can identify attacker infrastructure before they are leveraged in attacks, providing an invaluable window of opportunity to prevent harm. Figure 1. Architectural overview of TITAN, comprising four key steps: (1) constructing a graph using telemetry from 1 st and 3 rd party detectors in the Unified Security Operations Platform, (2) integrating known threat intelligence from across Microsoft, (3) applying reputation propagation algorithms to classify previously unknown entities as either benign or malicious, and (4) updating the reputation score for each entity in the graph. By leveraging guilt-by-association methods, TITAN can swiftly identify hidden threat actor infrastructure through cross-organizational associations with known malicious entities within the TI graph. Specifically, we employ a semi-supervised label propagation technique that iteratively assigns reputation scores to nodes based on their neighbors’ scores, refining the graph’s score distribution until convergence. These high-confidence entity reputation scores empower the unified security operations platform to implement proactive containment and remediation actions via attack disruption. A key advantage of our constantly evolving threat intelligence is that we can provide clear and explainable reputation scores for each entity by examining the neighboring entities that contribute to the overall score. Preventing attacks before they happen Consider a scenario where TITAN detects unusual activity from a seemingly benign IP address that has connections to known malicious domains. Traditional systems might not flag this IP until after malicious activity is confirmed. However, TITAN's guilt-by-association techniques elevate the reputation score of the IP address, immediately triggering detection and disruption rules that block the threat before any damage occurs. With an impressive average macro-F1 score of 0.89 and a precision-recall AUC of 0.94, TITAN identifies millions of high-risk entities each week, enabling a 6x increase in non-file threat intelligence. Since its deployment, TITAN has reduced the time to disrupt by a factor of 1.9x while maintaining 99% precision, as confirmed by customer feedback and thorough manual evaluation by security experts—ultimately saving customers from costly security breaches. Dynamic threat intelligence graph construction At the heart of TITAN is a dynamic, time-evolving threat intelligence graph that captures complex relationships between millions of interlinked entities, alerts, and incidents. By combining telemetry across both 1 st and 3 rd party sources in the unified security operations platform, TITAN is uniquely positioned for comprehensive view of the threat landscape, essential for early detection and disruption. Key features include: Real-time updates – In cybersecurity, speed is critical. TITAN operates in real-time, with graph creation and reputation propagation algorithms running every hour. This frequency ensures that security teams receive fresh and active threat intelligence, enabling swift and effective responses to emerging threats. The ability to act quickly can mean the difference between thwarting an attack and being breached. Infusing security domain knowledge via edge weights – Edges in the TI graph carry weights that signify the strength or relevance of the relationships between entities. We introduce edge weight decay functions that automatically reduce edge weights based on the time elapsed since the edge was formed. This ensures that newer and more relevant relationships have a greater impact on reputation assessments, aligning the dynamic graph with the real-time nature of security incidents. Pruning outdated nodes and edges – To maintain the relevance and efficiency of the TI graph, we implement pruning mechanisms that remove nodes and edges when their weights fall below certain thresholds. This approach keeps the graph focused on the most current and meaningful connections, ensuring optimal performance. Evolving cybersecurity defense with TI TITAN represents a monumental step forward in the mission to protect organizations from cyber threats. By infusing the power of AI with advanced threat intelligence, we are equipping security teams with the tools they need to stay ahead of the attackers. This is only possible with a unified platform that consolidates threat intelligence across 1 st and 3 rd party workloads and products, organizations benefit not only from streamlining their security operations but also gain deeper insights into potential threats and vulnerabilities. TITAN is just one of the many examples of how powerful bringing together the full capabilities of an industry-leading cloud-native security information and event management (SIEM), comprehensive extended detection and response (XDR), and generative AI built specifically for cybersecurity. Integrating all of this data, advanced analysis, threat intel and automation enables an entirely new era of defense for security teams and we’re so energized by the potential. TITAN is just the start – look forward to new capabilities announced in the coming months. Learn More Check out our resources to learn more about our new approach to AI-driven threat intelligence, and our recent security announcements: See TITAN in action in the session delivered at Ignite Read the full paper on the TITAN architecture Read the Copilot for Security Guided Response paper & blog Read the unified security operations platform GA announcementFrom signal to strategy: Closing attack paths with identity intelligence
Compromised credentials remain one of the most common entry points for attackers. In the first half of 2025 alone, identity-based attacks surged more than 32% and its estimated that 97% of them are password focused. While that scale is overwhelming, it only takes a single exposed account to give an attacker a foothold from which they can move laterally towards the critical assets they are after. At today’s attack scale, identity signals need to be connected with broader context to stop attacks earlier in the kill chain. Today we are excited to share more about how Microsoft Defender can help security professionals proactively understand how identity-related risks, like leaked credentials, relate back to critical assets, helping security professionals proactively close potential entry points before they can be exploited. Understanding leaked credentials and attack paths: Leaked credentials refer to valid usernames and passwords that have been exposed beyond their intended scope. Whether this exposure occurs as part of a data breach, phishing attack, or postings on dark web forums, the result is the same: an attacker may be using legitimate credentials to access your organization. Similarly, attack paths describe the sequence of misconfigurations, permissions, and trust relationships that an attacker can chain together to move from an initial foothold to high‑value resources. Rather than relying on a single vulnerability, attackers tend to think in graphs, following paths of least resistance to systematically escalate privileges and expand access. This makes identities the primary control plane they target and leaked credentials as an extremely common entry point. The recent Microsoft digital defense report put this into focus, stating that more than 61% of attack paths lead to a sensitive user. These user accounts have elevated privileges or access to critical resources meaning that if they were to be attacked or misused it would significantly impact the organization. Microsoft’s differentiated approach Most solutions stop at the alert and can only tell you that a password was exposed, found, or leaked. That information matters, but it is incomplete, it describes an event, not the risk. The real differentiation starts with the next question: what does this exposure mean for my environment right now. Not every exposed password creates the same level of risk. Context is what determines impact. Which identity does the password belong to? What assets can that identity access? Does that access still exists? And are those assets truly sensitive? That is why exposed password detection is a starting point, not an end state. Effective protection begins when organizations move beyond technical alerts and toward an identity-aware understanding. This shift from detection to context is where better decisions are made and where meaningful security value is created. This is why we took our identity alerts a step further, connecting these risks with broader security context to reveal how an initial identity signal can lead to sensitive users, critical assets, and core business operations. This perspective moves security beyond isolated alerts to prioritized, actionable insight that shows not just if risk exists, but how identity‑based threats could unfold and where to intervene to stop them before they have impact. In the case of leaked credentials, Microsoft continuously scans for exposed accounts across public and private breach sources. If a match is found, Microsoft’s Advanced Correlation Engine (MACE) automatically identifies the affected user within your organization and surfaces the exposure with clear severity and context. By bringing this powerful detection into Defender, teams can investigate and respond with better context, allowing leaked credentials to be evaluated alongside endpoint, email, and app activity, giving teams additional context needed to prioritize response. Additionally, for Microsoft Entra ID accounts we can go a step further validating whether the discovered credentials actually corresponds to a real, usable password for an identity in the tenant. This confirmation further reduces unnecessary noise and gives defenders an early signal - often before any malicious activity begins. Next, Microsoft Defender steps in to correlate these signals with your organization’s unique security context. Connecting the alert and associated account with other signals and like unusual authentications, lateral movement attempts, or privilege escalations, elevating the isolated alert into a complete story about any potential incidents related to that vulnerability. At the same time, Microsoft Exposure management is analyzing the same data to create a potential attack path related to the exposed credentials. By tracing permissions, consents, and access relationships, Attack Paths show exactly which routes an attacker could take and what controls will break that path. When these capabilities work together, visibility becomes action. MACE identifies who is exposed, Defender connects other signals into an incident level view and Attack Paths reveal where the attacker could go next. The result is a single, connected workflow that transforms early exposure data into prioritized, measurable risk reduction. Conclusion Leaked credentials should be treated as the beginning of a story, not an isolated event. Microsoft Defender is uniquely able to enrich security teams visibility and understanding of Identity-related threats from initial exposure to detection, risk prioritization, and remediation. This connected visibility fundamentally changes how defenders manage identity risk, shifting the focus from reacting to individual alerts to continuously reducing exposure and limiting blast radius. One leaked password doesn’t have to become a breach. With Microsoft’s identity security capabilities, it becomes a closed path, and a measurable step toward greater resilience. Learn more about attack paths and the new leaked credentials capabilities in Defender.Monthly news - January 2026
Microsoft Defender Monthly news - January 2026 Edition This is our monthly "What's new" blog post, summarizing product updates and various new assets we released over the past month across our Defender products. In this edition, we are looking at all the goodness from December 2025. Defender for Cloud has its own Monthly News post, have a look at their blog space. 🚀 New Virtual Ninja Show episode: Advancements in Attack Disruption Vulnerability Remediation Agent in Microsoft Intune Microsoft Defender (Public Preview) The following advanced hunting schema tables are now available for preview: The CampaignInfo table contains contains information about email campaigns identified by Microsoft Defender for Office 365 The FileMaliciousContentInfo table contains information about files that were processed by Microsoft Defender for Office 365 in SharePoint Online, OneDrive, and Microsoft Teams General Availability of the Phishing Triage Agent: this agent autonomously analyzes user‑reported phishing emails to determine whether they’re true threats or false positives, dramatically reducing manual triage workload. It continuously learns from analyst feedback and provides clear, natural‑language explanations for every verdict, giving SOC teams both speed and transparency. We're excited to share it is now generally available and, very soon, will expand to also triage cloud and identity alerts! Learn more on our docs. Public Preview of Dynamic Threat Detection Agent: Announced at Ignite, this always‑on agent hunts for unseen threats by continuously correlating telemetry and creating new, context‑aware detections on the fly—closing gaps traditional rules can’t see. We're excited to share it is now in Public Preview! Learn more on our docs. Public Preview of Threat Hunting Agent: Announced at Ignite, this agent gives every analyst the power to investigate like an expert by turning natural‑language questions into guided, real‑time hunts that surface hidden patterns, reveal meaningful pivots, and eliminate the need to write complex queries. We're excited to share it is now in Public Preview! Learn more on our docs. General Availability of the Threat Intelligence Briefing Agent: this agent delivers daily, tailored intelligence briefings directly in Microsoft Defender—automatically synthesizing Microsoft’s global threat insights with your organization’s context to surface prioritized risks, clear recommendations, and relevant assets so teams can shift from reactive research to proactive defense in minutes. We're excited to share it is now generally available! Learn more on our docs. (General Availability) The hunting graph in advanced hunting is now generally available. It also now has two new predefined threat scenarios that you can use to render your hunts as interactive graphs. (General Availability) Advanced hunting now supports custom functions that use tabular parameters. With tabular parameters, you can pass entire tables as inputs. This approach lets you build more modular, reusable, and expressive logic across your hunting queries. Learn more Microsoft Defender for Endpoint (Public Preview) Triage collection: Use triage collection to prioritize incidents and hunt threats with the Sentinel Model Context Protocol (MCP) server. Microsoft Defender for Identity New ADWS LDAP search activity is now available in the 'IdentityQueryEvents' table in Advanced Hunting. This can provides visibility into directory queries performed through ADWS, helping customers track these operations and create custom detection based on this data. (Public Preview) New properties for 'sensorCandidate' resource type in Graph-API. Learn more here. Microsoft Defender for Cloud Apps Integration of Defender for Cloud Apps permissions with Microsoft Defender XDR Unified RBAC is now available worldwide. For more information, see Map Microsoft Defender for Cloud Apps permissions to the Microsoft Defender XDR Unified RBAC permissions. To activate the Defender for Cloud Apps workload, see Activate Microsoft Defender XDR Unified RBAC. (Public Preview) The Defender for Cloud Apps app governance unused app insights feature helps administrators identify and manage unused Microsoft 365-connected OAuth apps, enforce policy-based governance, and use advanced hunting queries for better security. This feature is now available for most commercial cloud customers. For more information, see Secure apps with app hygiene features.Monthly news - December 2025
Microsoft Defender Monthly news - December 2025 Edition This is our monthly "What's new" blog post, summarizing product updates and various new assets we released over the past month across our Defender products. In this edition, we are looking at all the goodness from November 2025. Defender for Cloud has its own Monthly News post, have a look at their blog space. 😎 Microsoft Ignite 2025 - now on-demand! 🚀 New Virtual Ninja Show episode: Advancements in Attack Disruption Vulnerability Remediation Agent in Microsoft Intune Microsoft Defender Ignite 2025: What's new in Microsoft Defender? This blog summarizes our big announcements we made at Ignite. (Public Preview) Defender XDR now includes the predictive shielding capability, which uses predictive analytics and real-time insights to dynamically infer risk, anticipate attacker progression, and harden your environment before threats materialize. Learn more about predictive shielding. Security Copilot for SOC: bringing agentic AI to every defender. This blog post gives a great overview of the various agents supporting SOC teams. Account correlation links related accounts and corresponding insights to provide identity-level visibility and insights to the SOC. Coordinated response allows Defenders to take action comprehensively across connected accounts, accelerating response and minimizing the potential for lateral movement. Enhancing visibility into your identity fabric with Microsoft Defender. This blog describes new enhancements to the identity security experience within Defender that will help enrich your security team’s visibility and understanding into your unique identity fabric. (Public Preview) The IdentityAccountInfo table in advanced hunting is now available for preview. This table contains information about account information from various sources, including Microsoft Entra ID. It also includes information and link to the identity that owns the account. Microsoft Sentinel customers using the Defender portal, or the Azure portal with the Microsoft Sentinel Defender XDR data connector, now also benefit from Microsoft Threat Intelligence alerts that highlight activity from nation-state actors, major ransomware campaigns, and fraudulent operations. For more information, see Incidents and alerts in the Microsoft Defender portal. (Public Preview) New Entity Behavior Analytics (UEBA) experiences in the Defender portal! Microsoft Sentinel introduces new UEBA experiences in the Defender portal, bringing behavioral insights directly into key analyst workflows. These enhancements help analysts prioritize investigations and apply UEBA context more effectively. Learn more on our docs. (Public Preview) A new Restrict pod access response action is now available when investigating container threats in the Defender portal. This response action blocks sensitive interfaces that allow lateral movement and privilege escalation. (Public Preview) Threat analytics now has an Indicators tab that provides a list of all indicators of compromise (IOCs) associated with a threat. Microsoft researchers update these IOCs in real time as they find new evidence related to the threat. This information helps your security operations center (SOC) and threat intelligence analysts with remediation and proactive hunting. Learn more. In addition the overview section of threat analytics now includes additional details about a threat, such as alias, origin, and related intelligence, providing you with more insights on what the threat is and how it might impact your organization. Microsoft Defender for Identity (Public Preview) In addition to the GA release of scoping by Active Directory domains a few months ago, you can now scope by Organizational Units (OUs) as part of XDR User Role-Based Access Control. This enhancement provides even more granular control over which entities and resources are included in security analysis. For more information, see Configure scoped access for Microsoft Defender for Identity. (Public Preview). New security posture assessment: Change password for on-prem account with potentially leaked credentials. The new security posture assessment lists users whose valid credentials have been leaked. For more information, see: Change password for on-prem account with potentially leaked credentials. Defender for Identity is slowly rolling out automatic Windows event auditing for sensors v3.x, streamlining deployment by applying required auditing settings to new sensors and fixing misconfigurations on existing ones. As it becomes available, you will be able to enable automatic Windows event-auditing in the Advanced settings section in the Defender portal, or using the Graph API. Identity Inventory enhancements: Accounts tab, manual account linking and unlinking, and expanded remediation actions are now available. Learn more in our docs. Microsoft Defender for Cloud Apps (Public Preview) Defender for Cloud Apps automatically discovers AI agents created in Microsoft Copilot Studio and Azure AI Foundry, collects audit logs, continuously monitors for suspicious activity, and integrates detections and alerts into the XDR Incidents and Alerts experience with a dedicated Agent entity. For more information, see Protect your AI agents. Microsoft Defender for Endpoint Ignite 2025: Microsoft Defender now prevents threats on endpoints during an attack. This year at Microsoft Ignite, Microsoft Defender is announcing exciting innovations for endpoint protection that help security teams deploy faster, gain more visibility, and proactively block attackers during active attacks. (Public Preview) Defender for Endpoint now includes the GPO hardening and Safeboot hardening response actions. These actions are part of the predictive shielding feature, which anticipates and mitigates potential threats before they materialize. (Public Preview) Custom data collection enables organizations to expand and customize telemetry collection beyond default configurations to support specialized threat hunting and security monitoring needs. (Public Preview) Native root detection support for Microsoft Defender on Android. This enables proactive detection of rooted devices without requiring Intune policies, ensuring stronger security and validating that Defender is running on an uncompromised device, ensuring more reliable telemetry that is not vulnerable to attacker manipulation. (Public Preview) The new Defender deployment tool is a lightweight, self-updating application that streamlines onboarding devices to the Defender endpoint security solution. The tool takes care of prerequisites, automates migrations from older solutions, and removes the need for complex onboarding scripts, separate downloads, and manual installations. It currently supports Windows and Linux devices. Defender deployment tool: for Windows devices for Linux devices (Public Preview) Defender endpoint security solution for Windows 7 SP1 and Windows Server 2008 R2 SP1. A Defender for endpoint security solution is now available for legacy Windows 7 SP1 and Windows Server 2008 R2 SP1 devices. The solution provides advanced protection capabilities and improved functionality for these devices compared to other solutions. The new solution is available using the new Defender deployment tool. Microsoft Defender Vulnerability Management (Public Preview) The Vulnerability Management section in the Microsoft Defender portal is now located under Exposure management. This change is part of the vulnerability management integration to Microsoft Security Exposure Management, which significantly expands the scope and capabilities of the platform. Learn more. (General Availability) Microsoft Secure Score now includes new recommendations to help organizations proactively prevent common endpoint attack techniques. Require LDAP client signing and Require LDAP server signing - help ensure integrity of directory requests so attackers can't tamper with or manipulate group memberships or permissions in transit. Encrypt LDAP client traffic - prevents exposure of credentials and sensitive user information by enforcing encrypted communication instead of clear-text LDAP. Enforce LDAP channel binding - prevents man-in-the-middle relay attacks by ensuring the authentication is cryptographically tied to the TLS session. If the TLS channel changes, the bind fails, stopping credential replay. (General Availability) These Microsoft Secure Score recommendations are now generally available: Block web shell creation on servers Block use of copied or impersonated system tools Block rebooting a machine in Safe Mode Microsoft Defender for Office 365 Microsoft Ignite 2025: Transforming Phishing Response with Agentic Innovation. This blog post summarizes the following announcements: General Availability of the Security Copilot Phishing Triage Agent Agentic Email Grading System in Microsoft Defender Cisco and VIPRE Security Group join the Microsoft Defender ICES ecosystem. A separate blog explains these best practices in more detail and outline three other routing techniques commonly used across ICES vendors. Blog series: Best practices from the Microsoft Community Microsoft Defender for Office 365: Fine-Tuning: This blog covers our top recommendations for fine-tuning Microsoft Defender for Office 365 configuration from hundreds of deployments and recovery engagements, by Microsoft MVP Joe Stocker. You may be right after all! Disputing Submission Responses in Microsoft Defender for Office 365: Microsoft MVP Mona Ghadiri spotlights a new place AI has been inserted into a workflow to make it better… a feature that elevates the transparency and responsiveness of threat management: the ability to dispute a submission response directly within Microsoft Defender for Office 365. Blog post: Strengthening calendar security through enhanced remediation.
Custom detection rules get a boost—explore what’s new in Microsoft Defender
Co-author - Jeremy Tan In today's rapidly evolving cybersecurity landscape, staying ahead of threats is crucial. Microsoft Defender's custom detection rules offer a powerful way to proactively monitor and respond to security threats. These user-defined rules can be configured to run at regular intervals to detect security threats—generating alerts and triggering response actions when threats are detected. If you are a Microsoft Sentinel user and have connected your Sentinel workspace to Microsoft Defender, you are probably more familiar with analytics rules in Microsoft Sentinel and are looking to explore the capabilities and benefits of custom detections. Understanding and leveraging custom detection rules can significantly enhance your organization's security posture. This blog will delve into the benefits of custom detections and showcase scenarios that highlight their capabilities, helping you make the most of this robust feature. We are excited to release these brand-new enhancements that are now available in public preview. What’s new in custom detections? The improvements in custom detections aim to enhance their functionality and usability, making it easier to manage and respond to security threats effectively. Unified user defined detection list: Manage all your user-defined detections from Microsoft Defender XDR and Microsoft Sentinel in one place. Filtering capabilities for every column. Search freely using rule title or rule ID. View the new workspace ID column (filterable) for multi-workspace organizations that onboarded multiple workspaces to the unified SOC platform. Manage all detections from MTO portal across all your tenants. Show details pane for every rule (whether custom detection or analytics rule). Perform the following actions on rules: Turn on/off Delete Edit Run (only for custom detections) Open rule’s page (only for custom detections) Migrate eligible scheduled custom detections to near real-time custom detections with one click using the new migration tool. Dynamic alert titles and descriptions: Dynamically craft your alert’s title and description using the results of your query to make them accurate and indicative. Advanced entity mapping: Link a wide range of entity types to your alerts. Enrich alerts with custom details: Surface details to display in the alert side panel. Support Sentinel-only data: Custom detections support Microsoft Sentinel data only without dependency on Microsoft Defender XDR data. Flexible and high frequency support for Sentinel data: Custom detections support high and flexible frequency for Microsoft Sentinel data. The benefits of custom detections Let’s examine some of the key benefits of custom detections: Query data from Defender XDR and Sentinel seamlessly: You can create custom detection rules that query data from both Microsoft Sentinel and Defender XDR tables seamlessly, without the need of sending Defender XDR data to Sentinel. Cost efficiency: Save on ingestion costs if you don’t need to retain Microsoft Defender XDR data in analytics tier for more than 30 days but have detection use cases involving both Defender XDR and Sentinel data. Detect threats immediately and remove dependency on quick ingestion: near real time (NRT) custom detections monitor events as they stream, while standard custom detections evaluate both the event ingestion time and the time the event was generated. Unlimited NRT detections: NRT custom detections are unlimited, you can create as many as you need. Since they are based on a streaming technology, they are not generating any load on the system. Native remediation actions: You can configure custom detection rule to automatically take actions on devices, files, users, or emails that are returned by the query when your detection query is correlating Defender XDR and Microsoft Sentinel data, or Defender XDR data only. Entity mapping: Entities are automatically mapped to the alert for all XDR tables. Out of the box alert de-duplication: To reduce alert fatigue when alert generated with the same impacted entities, custom details, title and description - they will merge to the same alert (keeping all raw events linked to the single alert). With this capability you don’t need to worry about duplicated alerts – we take care of it for you. Built-in functions: You can leverage built-in enrichment functions when you build your custom detection queries, such as FileProfile(), SeenBy(), DeviceFromIP() and AssignedIPAddresses(). Extended lookback period: Custom detections have a long lookback period of up to 30 days for rules that run once a day, ideal for historical trending detections. Common scenarios To truly understand the power and versatility of custom detection rules in Microsoft Defender, it's essential to see them in action. In this section, we'll explore several common use cases that demonstrate how these new capabilities can be leveraged to enhance your organization's security posture. These scenarios highlight the benefits of the capabilities, providing you with actionable insights to implement in your own environment. Use Case – detecting potential malicious activity In this use case, we aim to detect potential malicious activity by monitoring logon attempts from different IP addresses. We will implement a custom detection rule that: Monitors successful logon by a user from one IP address and a failed logon attempt from a different IP address (may indicate a malicious attempt at password guessing with a known account). Enriches alerts with user's information from Microsoft Defender for Identity’s IdentityInfo table, including Job title, Department, Manager’s name, and assigned roles. If the user has been found in the 'Terminated Employees’ watchlist, indicating that the user has been notified for termination or marked as terminated, reflect this in the alert name and description. Runs once a day with a lookback period of 30 days, avoiding duplicate alerts on subsequent intervals. Let’s walk through the creation of the custom detection rule and examine the outcome. 1. Here is the sample KQL query we will run in advanced hunting page to create the custom detection. let logonDiff = 10m; let Terminated_Watchlist = _GetWatchlist("TerminatedEmployees") | project tolower(SearchKey);// Get the TerminiatedEmploees Watchlist let aadFunc = (tableName:string) { table(tableName) | where ResultType == "0" | where AppDisplayName !in ("Office 365 Exchange Online", "Skype for Business Online") // To remove false-positives, add more Apps to this array | extend SuccessIPv6Block = strcat(split(IPAddress, ":")[0], ":", split(IPAddress, ":")[1], ":", split(IPAddress, ":")[2], ":", split(IPAddress, ":")[3]) | extend SuccessIPv4Block = strcat(split(IPAddress, ".")[0], ".", split(IPAddress, ".")[1]) | project SuccessLogonTime = TimeGenerated, UserPrincipalName, SuccessIPAddress = IPAddress, SuccessLocation = Location, AppDisplayName, SuccessIPBlock = iff(IPAddress contains ":", strcat(split(IPAddress, ":")[0], ":", split(IPAddress, ":")[1]), strcat(split(IPAddress, ".")[0], ".", split(IPAddress, ".")[1])), Type | join kind= inner ( table(tableName) | where ResultType !in ("0", "50140") | where ResultDescription !~ "Other" | where AppDisplayName !in ("Office 365 Exchange Online", "Skype for Business Online") | project FailedLogonTime = TimeGenerated, UserPrincipalName, FailedIPAddress = IPAddress, FailedLocation = Location, AppDisplayName, ResultType, ResultDescription, Type ) on UserPrincipalName, AppDisplayName | where SuccessLogonTime < FailedLogonTime and FailedLogonTime - SuccessLogonTime <= logonDiff and FailedIPAddress !startswith SuccessIPBlock // Compare the success and failed logon time | summarize FailedLogonTime = max(FailedLogonTime), SuccessLogonTime = max(SuccessLogonTime) by UserPrincipalName, SuccessIPAddress, SuccessLocation, AppDisplayName, FailedIPAddress, FailedLocation, ResultType, ResultDescription, Type | extend Timestamp = SuccessLogonTime | extend UserInTerminatedWatchlist = iif(UserPrincipalName in (Terminated_Watchlist), 'True', 'False') // Check if the impacted user is found in the Watchlist | extend AlertName = iif(UserInTerminatedWatchlist == 'True', "Successful logon by a 'Terminated Employees Watchlist' user from one IP and a failed logon attempt from a different IP","Successful logon from IP and failure from a different IP") // This is the define the dynamic alert value | extend AlertDescription = iif(UserInTerminatedWatchlist == 'True', "A Successful logon by a 'Terminated Employees Watchlist' user onto an Azure App from one IP and within 10 mins failed to logon to the same App via a different IP (may indicate a malicious attempt at password guessing with known account). ","A user account successfully logs onto an Azure App from one IP and within 10 mins failed to logon to the same App via a different IP (may indicate a malicious attempt at password guessing with known account).") // This is to define the dynamic alert description | extend UserPrincipalName = tolower(UserPrincipalName)}; let aadSignin = aadFunc("SigninLogs"); let aadNonInt = aadFunc("AADNonInteractiveUserSignInLogs"); union isfuzzy=true aadSignin, aadNonInt | extend Name = tostring(split(UserPrincipalName,'@',0)[0]), UPNSuffix = tostring(split(UserPrincipalName,'@',1)[0]) | join kind=leftouter ( IdentityInfo // Correlate with IdentityInfo table | summarize arg_max (TimeGenerated,AccountObjectId, Department, JobTitle, Manager, AssignedRoles, ReportId, IsAccountEnabled) by AccountUpn | extend UserPrincipalName=tolower(AccountUpn) ) on UserPrincipalName 2. On the top right corner of the advance hunting page, select ‘create custom detection’ under Manage rules. 3. Populate the relevant rule’s information. 4. Specify alert title and description by referencing the AlertName and AlertDescription fields defined in the query, as we will dynamically craft the alert title and description, depending on whether the impacted user is found in the 'Terminated Employees’ watchlist. 5. In the entity mapping section, you will find some entity mappings that we have pre-populated for you, which would save you some time and effort. You can update or add the mappings as you wish. 6. Let’s add some additional mappings. In this example, I will add IP entities under Related Evidence. 7. In the Custom details section, I will add the following key-value pairs to surface additional information of the impact user in the alert. 8. On the Automated actions page, because we are correlating Sentinel data with Defender XDR table (IdentityInfo), you have the option to select first-party remediation actions, which is ‘Mark user as compromised’ in our case. 9. Review the configuration of the rule and click Submit. 10. Now, let’s examine how the incident/alert would look. Below is a sample incident triggered. 11. Select the alert and you will find the custom details on the right pane, surfacing additional information such as Job title, Department, Manager’s name and Assigned roles that we configured. 12. The impacted user from the above incident was not found in the 'Terminated Employees’ watchlist. Now, let’s examine how the incident/alert would look when the impacted user is found in the watchlist. 13. In my environment, I have configured the watchlist and will be using ‘MeganB’ for simulation. 14. Notice how the alert title and description is different from the one generated earlier, to reflect user found in the watchlist. 15. The rule will run once a day with a look back period of 30 days. However, custom detection will not create duplicate alerts if the same impacted entities are found in the subsequent runs. Instead, you will find the Last activity time being updated and more events showing up in the result table of the alert page. Conclusion Custom detection rules in Microsoft Defender offer a powerful and flexible way to enhance your organization's security posture. By leveraging these user-defined rules, you can proactively monitor and respond to security threats, generating detailed and actionable alerts. The recent enhancements—such as unified detection lists, dynamic alert titles, and advanced entity mapping—further improve the functionality and usability of custom detections. Ready to enhance your threat detection capabilities? Start exploring and implementing custom detection rules in Microsoft Defender today to safeguard your digital assets and maintain a strong security posture. Useful links Overview of custom detections in Microsoft Defender XDR - Microsoft Defender XDR | Microsoft Learn Create and manage custom detection rules in Microsoft Defender XDR - Microsoft Defender XDR | Microsoft Learn
Host Microsoft Defender data locally in the United Arab Emirates
We are pleased to announce that local data residency support in the UAE is now generally available for Microsoft Defender for Endpoint and Microsoft Defender for Identity. This announcement reinforces our ongoing commitment to delivering secure, compliant services aligned with local data sovereignty requirements. Customers can now confidently onboard to Defender for Endpoint and Defender for Identity in the UAE, knowing that this Defender data will remain at rest within the UAE data boundary. This allows customers to meet their regulatory obligations and maintain control over their data. For more details on the Defender data storage and privacy policies, refer to Microsoft Defender for Endpoint data storage and privacy and Microsoft Defender for Identity data security and privacy. Note: Defender for Endpoint and Defender for Identity may potentially use other Microsoft services (i.e. Microsoft Intune for security settings management). Each Microsoft service is governed by its own data storage and privacy policies and may have varying regional availability. For more information, refer to our Online Product Terms. In addition to the UAE, Defender data residency capabilities are available in the United States, the European Union, the United Kingdom, Australia, Switzerland and India (see our recent announcement for local data hosting in India). Customers with Existing deployments for Defender for Endpoint and/or Defender for Identity Existing customers can check their deployment geo within the portal by going to Settings -> Microsoft Defender XDR-> Account; and see where the service is storing your data at rest. For example, in the image below, the service location for the Defender XDR tenant is UAE. ation information If you would like to update your service location, please reach out to Customer Service and Support for a tenant reset. Support can be accessed by clicking on the “?” icon in the top right corner of the portal when signed in as an Admin (see image below). If you are a Microsoft Unified support customer, please reach out to your Customer Success Account Manager for assistance with the migration process. More information: Ready to go local? Read our documentation for more information on how to get started. Microsoft Defender XDR data center location Not yet a customer? Take Defender XDR for a spin via a 90-day trial for Office 365 E5 or Defender for Endpoint via a 90-day trial for Defender for Endpoint Check out the Defender for Endpoint website to learn more about our industry leading Endpoint protection platform Check out the Defender for Identity website to learn how to keep your organization safe against rising identity threats
