A curated, professional list of community resources to help practitioners plan, execute, and improve agentic AI red teaming efforts.
| Resource | Description |
|---|---|
| Pillar Security: Agentic AI Red Teaming Playbook | End-to-end, battle-tested playbook that covers the full agentic AI red teaming methodology (recon to exploitation), focuses on actionable techniques and real-world scenarios, and centers risks at the agentic layer where models, tools, data, and workflows interact. |
| Joseph Thacker: How to Hack AI Agents and Applications | Comprehensive guide that walks from understanding models to steering LLMs and then into AI attack scenarios, with a detailed methodology and attack pattern coverage for real applications. |
| Devansh: AI Pentest Scoping Playbook | Practical scoping guide that explains how AI pentest scope differs from traditional web testing, maps layered attack surfaces (models, data pipelines, tools, agents, infrastructure), and outlines what to include in a thorough scope document. |