CNAPP evolution: How Microsoft aligns with leading cloud risk management platforms
Learn how CNAPP platforms are helping organizations prioritize exploitable risks, reduce exposure, and operationalize security across the application lifecycle.
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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Guarding AI memory
What happens when threat actors target what AI remembers? Microsoft breaks down the risks and the defenses. -
AutoJack: How a single page can RCE the host running your AI agent
AutoJack is a novel exploit chain showing how a single malicious webpage can turn an AI browsing agent into a remote code execution vector on the host machine. -
New Forrester Total Economic Impact™ study projects a 124% ROI from unifying with Microsoft Security
New Forrester Total Economic Impact™ study shows Microsoft Security consolidation delivers ROI, lowers risk, and prepares organizations to secure AI. Modernize your Security Operations Center with Microsoft Sentinel
Microsoft Sentinel is a cloud-native SIEM solution powered by AI and automation that delivers intelligent security analytics across your entire enterprise.
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Beyond the benchmark: Advancing security at AI speed
Read how Microsoft Security has advanced its agentic vulnerability detection system, codename MDASH, integrating into real-world workflows across Windows, Azure, and identity systems. -
AI is accelerating cyberattacks—here’s how to stay ahead
See how Microsoft unifies identity and security signals to help teams prevent, detect, and respond to AI-accelerated attacks faster. -
Reconstructing AI activity in investigations
Learn how to investigate AI activity in Microsoft 365 Copilot and Azure AI services using a structured, telemetry-driven approach. -
Securing CI/CD in an agentic world: Claude Code Github action case
Microsoft Threat Intelligence identified a prompt injection pathway in Claude Code GitHub Action that allowed access to workflow secrets under specific conditions. 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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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 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. -
What’s new in Microsoft Security: May 2026
Microsoft Security’s latest updates extend visibility, control, and protection across expanding ecosystems as organizations accelerate AI adoption. -
Introducing RAMPART and Clarity: Open source tools to bring safety into Agent development workflow
The AI systems shipping inside enterprises today are fundamentally different from the ones we were building even two years ago, because they have moved well past answering questions and into accessing your email, retrieving records from your CRM, writing and executing code, and taking actions on your behalf across dozens of connected systems.
