Updating the taxonomy of failure modes in agentic AI systems: What a year of red teaming taught us
A surge in real-world attacks against agentic AI systems is reshaping how we think about risk.
Microsoft Security Copilot
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Microsoft Security success stories: How St. Luke’s and ManpowerGroup are securing AI foundations
How Frontier firms secure AI at scale: read how Microsoft customers embed governance, identity, and cloud security to make protection an enabler of AI growth. -
Microsoft named an overall leader in KuppingerCole Analyst’s 2026 Emerging AI Security Operations Center (SOC) report
Microsoft is excited to be named an Overall Leader, and the Market Leader in the Kuppinger Cole Analyst’s 2026 Emerging AI Security Operations Center (SOC) report, as we see automation and AI as core components of the future of cybersecurity. -
Incident response for AI: Same fire, different fuel
AI changes how incidents unfold and how we respond. Tailored AI insights from Microsoft Security Copilot
Empower your defenders to detect hidden patterns, harden defenses, and respond to incidents faster with generative AI.
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The agentic SOC—Rethinking SecOps for the next decade
In the SOC of the future, autonomous defense moves at machine speed, agents add context and coordination, and humans focus on judgment, risk, and outcomes. -
Identity security is the new pressure point for modern cyberattacks
Read the latest Microsoft Secure Access report for insights into why a unified identity and access strategy offers strong modern protection. -
CTI-REALM: A new benchmark for end-to-end detection rule generation with AI agents
Excerpt: CTI-REALM is Microsoft’s open-source benchmark for evaluating AI agents on real-world detection engineering—turning cyber threat intelligence (CTI) into validated detections. -
Secure agentic AI end-to-end
In this agentic era, security must be woven into, and around, every layer of the AI estate. Retain Microsoft Security Experts
Microsoft Security Experts are now available to strengthen your team with managed security services. Learn how to defend against threats with security experts.
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Observability for AI Systems: Strengthening visibility for proactive risk detection
As AI systems grow more autonomous, observability becomes essential. -
AI as tradecraft: How threat actors operationalize AI
Threat actors are operationalizing AI to scale and sustain malicious activity, accelerating tradecraft and increasing risk for defenders, as illustrated by recent activity from North Korean groups such as Jasper Sleet and Coral Sleet (formerly Storm-1877). -
Threat modeling AI applications
AI threat modeling helps teams identify misuse, emergent risk, and failure modes in probabilistic and agentic AI systems. -
Detecting and mitigating common agent misconfigurations
Agents are increasingly powerful. With that power comes risk: small misconfigurations, over‑broad sharing, unauthenticated access, and weak orchestration controls can create real exposure.
