Actionable threat insights
Get timely insights into emerging vulnerabilities, first‑finder discoveries, and evolving cyberattacker behaviors. Explore deep research and real‑world Microsoft Defender scenarios that show how proactive detection and quick action help organizations prevent compromise.
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Microsoft Threat Intelligence analyzes the LiteLLM 1. -
AI-driven, large-scale nation-state campaign using ARTEX enables supply chain compromise
Storm-0940 used ARTEX agentic AI to accelerate a ConnectWise supply chain compromise, enabling application credential abuse across Microsoft 365 environments. -
Post-quantum authentication: Why organizations should start testing certificate ecosystems now
Prepare for post-quantum authentication by testing certificate ecosystems now. -
Unauthenticated command injection on internet-facing mail servers: tracking CVE-2026-73570
Microsoft Threat Intelligence examines CVE-2026-73570 exploitation in Zimbra, including observed attack paths, detection opportunities, and mitigation guidance. -
Storm-3168: Agentic-driven cloud attacks using compromised service principals
Microsoft details JADEPUFFER-linked Azure reconnaissance, resource deletion, and credential access using compromised service principals, identifying the activity as associated with Storm-3168 and providing guidance for defenders. -
From guidance to action: Security fundamentals that materially reduce risk
AI has made fundamental changes to the operating environment for cybersecurity. -
Threat matrix: Mapping threats across cloud web applications
Microsoft introduces the Cloud Web Applications Threat Matrix, a MITRE ATT&CK-aligned framework that helps defenders understand, prioritize, and mitigate threats to cloud-hosted web apps and serverless platforms. -
How to secure edge AI in customer-owned environments
As AI moves into customer-owned environments, organizations need new ways to verify the systems, software, and AI assets they trust before releasing sensitive data, credentials, and models.