AI and agents
AI and machine learning help you identify threats sooner and respond more effectively. Learn how to safeguard your infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) resources across multicloud and hybrid environments.
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Today we’re announcing the general availability of Agent 365, plus previews of new capabilities to discover and manage shadow AI agents, including local agents like OpenClaw and Claude Code. -
What’s new, updated, or recently released in Microsoft Security
Stay ahead of emerging threats with Microsoft’s newest security innovations and updates, delivered through the In the Loop series. -
Building your cryptographic inventory: A customer strategy for cryptographic posture management
Learn how to build a comprehensive cryptographic inventory and strengthen quantum‑safe readiness using Microsoft Security tools, best‑practice lifecycle models, and partner solutions. -
Incident response for AI: Same fire, different fuel
AI changes how incidents unfold and how we respond. -
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. -
Threat actor abuse of AI accelerates from tool to cyberattack surface
Generative AI is upgrading cyberattacks, from 450% higher phishing click‑through rates to industrialized MFA bypass. -
Applying security fundamentals to AI: Practical advice for CISOs
Read actionable advice for CISOs on securing AI, managing risk, and applying core security principles in today’s AI‑powered environment. -
Addressing the OWASP Top 10 Risks in Agentic AI with Microsoft Copilot Studio
Agentic AI introduces new security risks. Learn how the OWASP Top 10 Risks for Agentic Applications maps to real mitigations in Microsoft Copilot Studio. -
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. -
Governing AI agent behavior: Aligning user, developer, role, and organizational intent
This research report explores the layers of agent intent and how to align them for secure enterprise AI adoption. -
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.