Security management
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AI threat modeling helps teams identify misuse, emergent risk, and failure modes in probabilistic and agentic AI systems. -
Scaling security operations with Microsoft Defender autonomous defense and expert-led services
AI-powered cyberattacks outpace aging SOC tools, and this new guide explains why manual defense fails and how autonomous, expert-led security transforms modern protection. -
New e-book: Establishing a proactive defense with Microsoft Security Exposure Management
Read the new maturity-based guide that helps organizations move from fragmented, reactive security practices to a unified exposure management approach that enables proactive defense. -
Unify now or pay later: New research exposes the operational cost of a fragmented SOC
New research from Microsoft and Omdia reveals how fragmented tools, manual workflows, and alert overload are pushing SOCs to a breaking point. -
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. -
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. -
A one-prompt attack that breaks LLM safety alignment
As LLMs and diffusion models power more applications, their safety alignment becomes critical. -
The security implementation gap: Why Microsoft is supporting Operation Winter SHIELD
Most security incidents happen in the gap between knowing what matters and actually implementing security controls consistently. -
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. -
Security strategies for safeguarding governmental data
Discover key strategies and leadership insights to help government agencies protect sensitive data and strengthen overall cybersecurity resilience. -
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.