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# Community Resources for Agentic AI Red Teaming

A curated, professional list of community resources to help practitioners plan, execute, and improve agentic AI red teaming efforts.

## Playbooks & Guides

| Resource | Description |
| --- | --- |
| [Pillar Security: Agentic AI Red Teaming Playbook](https://www.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](https://josephthacker.com/hacking/2025/02/25/how-to-hack-ai-apps.html) | 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](https://devansh.bearblog.dev/ai-pentest-scoping/) | 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. |