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Agentic AI Red Teaming Guide
Agentic AI Red Teaming Guide
Who it's for:
  • Red Teamers and Penetration Testers
  • Agentic AI Developers and Engineers
  • Security Architects 
  • AI Safety Professionals

Agentic AI Red Teaming Guide

Release Date: 05/28/2025

Agentic AI systems represent a significant leap forward for AI. Their ability to plan, reason, act, and adapt autonomously introduces new capabilities and, consequently, new security challenges. Traditional red teaming methods are insufficient for these complex environments.

This publication 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. Security teams need to test isolated model behaviors, full agent workflows, inter-agent dependencies, and real-world failure modes. This guide enables that shift. It helps organizations validate whether their Agentic AI implementations enforce role boundaries, maintain context integrity, detect anomalies, and minimize attack blast radius.

Key Takeaways:
  • 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
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Acknowledgements

Anirudh Murali
Anirudh Murali
Principal Engineer, Agentic AI Security

Anirudh Murali

Principal Engineer, Agentic AI Security

Ken Huang
Ken Huang
CEO & Chief AI Officer, DistributedApps.ai

Ken Huang

CEO & Chief AI Officer, DistributedApps.ai

Ken Huang is an acclaimed author of 8 books on AI and Web3. He is the Co-Chair of the AI Organizational Responsibility Working Group and AI Control Framework at the Cloud Security Alliance. Additionally, Huang serves as Chief AI Officer of DistributedApps.ai, which provides training and consulting services for Generative AI Security.

In addition, Huang contributed extensively to key initiatives in the space. He is a core contribut...

Read more

Nick Hamilton Headshot Missing
Nick Hamilton
OpenAI

Nick Hamilton

OpenAI

Michael Morgenstern Headshot Missing
Michael Morgenstern

Michael Morgenstern

Sai Honig
Sai Honig

Sai Honig

Gian Kapoor
Gian Kapoor
Principal Enterprise Architect

Gian Kapoor

Principal Enterprise Architect

Prateek Mittal
Prateek Mittal

Prateek Mittal

James Stewart Headshot Missing
James Stewart

James Stewart

Jayesh Dalmet
Jayesh Dalmet
Network Security Engineer L4 ( Sr. Security Engineer), NetApp

Jayesh Dalmet

Network Security Engineer L4 ( Sr. Security Engineer), NetApp

Responsible for leading the design, implementation, and maintenance of security tools, technologies, and solutions across the organization. In this senior-level leading role, I collaborate with cross-functional teams, provide technical guidance, and drive the strategic direction of security tooling initiatives to protect organization.

Read more

Michael Roza
Michael Roza
Risk, Audit, Control and Compliance Professional at EVC

Michael Roza

Risk, Audit, Control and Compliance Professional at EVC

Michael Roza is a seasoned risk, audit, control and compliance, and cybersecurity professional with over 20 years of experience across multinational enterprises and startups. As a Cloud Security Alliance (CSA) Research member for over 10 years, he has led and contributed to more than 140 CSA projects spanning Zero Trust, AI, IoT, Top Threats, DecSecOps, Cloud Key Management, Cloud Control Matrix, and many others.

He has co-chaired...

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