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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Agents are increasingly powerful. With that power comes risk: small misconfigurations, over‑broad sharing, unauthenticated access, and weak orchestration controls can create real exposure. -
Your complete guide to Microsoft experiences at RSAC™ 2026 Conference
Microsoft Security returns to RSAC Conference to show how Frontier Firms—organizations that are human-led and agent-operated—can stay ahead. -
The strategic SIEM buyer’s guide: Choosing an AI-ready platform for the agentic era
New guide details how a unified, AI ready SIEM platform empowers security leaders to operate at the speed of AI, strengthen resilience, accelerate detection and response, and more. -
80% of Fortune 500 use active AI Agents: Observability, governance, and security shape the new frontier
Read Microsoft’s new Cyber Pulse report for straightforward, practical insights and guidance on new cybersecurity risks. -
Manipulating AI memory for profit: The rise of AI Recommendation Poisoning
That helpful “Summarize with AI” button? It might be secretly manipulating what your AI recommends. -
A one-prompt attack that breaks LLM safety alignment
As LLMs and diffusion models power more applications, their safety alignment becomes critical. -
Detecting backdoored language models at scale
We’re releasing new research on detecting backdoors in open-weight language models and highlighting a practical scanner designed to detect backdoored models at scale and improve overall trust in AI systems. -
Microsoft SDL: Evolving security practices for an AI-powered world
Discover Microsoft’s holistic SDL for AI combining policy, research, and enablement to help leaders secure AI systems against evolving cyberthreats. -
New Microsoft Data Security Index report explores secure AI adoption to protect sensitive data
The 2026 Microsoft Data Security Index explores one of the most pressing questions facing organizations today: How can we harness the power of generative while safeguarding sensitive data? -
From runtime risk to real‑time defense: Securing AI agents
Why securing AI agents at runtime is essential as attackers find new ways to exploit generative orchestration. -
Microsoft Security success stories: Why integrated security is the foundation of AI transformation
Discover how Ford, Icertis, and TriNet modernized security with Microsoft—embedding Zero Trust, automating defenses, and enabling secure AI innovation at scale. -
Four priorities for AI-powered identity and network access security in 2026
Discover four key identity and access priorities for the new year to strengthen your organization’s identity security baseline.