The Cloud Security Alliance has published a new guidance document, looking at red teaming methods for vulnerability testing of agentic AI systems.
Agentic AI Red Teaming provides a detailed red teaming framework for Agentic AI. It explains how to test critical vulnerabilities across dimensions like permission escalation, hallucination, orchestration flaws, memory manipulation, and supply chain risks. Each section delivers actionable steps to support robust risk identification and response planning.
As AI agents integrate into enterprise and critical infrastructure, proactive red teaming must become a continuous function says the guide. Security teams need to test isolated model behaviors, full agent workflows, inter-agent dependencies, and real-world failure modes.
Contents include:
- How Agentic AI systems are different from GenAI systems
- The unique security challenges of Agentic AI
- Why red teaming AI agents is important
- How to perform red teaming on AI agents, including test requirements, actionable steps, and example prompts.
