Microsoft’s Five AI Agent Risk Classes: A Practical Security Control Map
A practical control map for Microsoft’s five AI agent risk classes, with implementation guidance and a safe offline policy-audit lab.
AI-Assisted Fuzzing: GitHub’s Taskflow Agent in Practice
Explore GitHub Security Lab’s AI-assisted fuzzing workflow for C/C++, including its coverage loop, crash triage, a safe cJSON lab, and key limitations.
SharedRoot: The Real Risk of Shared Filesystem Access in Containerized AI Workloads
Understand how shared host filesystems and container volumes can expose AI agents to data theft and unintended actions, with practical isolation controls.
AI Security in the Enterprise: Securing LLMs and AI Systems 2026
AI security 2026: securing LLMs from prompt injection, data poisoning, model theft, OWASP Top 10 for LLMs, NIST AI RMF, EU AI Act compliance, and AI governance.
AI-Powered Cyber Threats 2026
Explore how AI is being weaponized by threat actors and how defenders can leverage AI to stay ahead of sophisticated attacks.
