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.
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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Streamline privacy management with Microsoft Priva
Protect and govern personal information, reduce privacy risks, and manage subject rights requests at scale with Microsoft Priva privacy risk management solutions.
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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. Simplify endpoint management with Microsoft Intune
Microsoft Intune is a cloud-based unified endpoint management platform that empowers IT to manage, assess, and protect apps and devices.
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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. Secure and verify every identity with Microsoft Entra
Microsoft Entra expands beyond identity and access management with new product categories such as cloud infrastructure entitlement management (CIEM) and decentralized identity.
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New tools and guidance: Announcing Zero Trust for AI
Microsoft introduces Zero Trust for AI, adding a new AI pillar to its workshop, enhanced reference architecture, updated guidance, and a new assessment tool. -
Observability for AI Systems: Strengthening visibility for proactive risk detection
As AI systems grow more autonomous, observability becomes essential. -
New Microsoft Purview innovations for Fabric to safely accelerate your AI transformation
As organizations adopt AI, security and governance remain core primitives for safe AI transformation and acceleration. -
Detecting and analyzing prompt abuse in AI tools
Hidden instructions in content can subtly bias AI, and our scenario shows how prompt injection works, highlighting the need for oversight and a structured response playbook.
