Who Should Use the OWASP Gen AI Security Project Resources?
The OWASP Gen AI Security Project is a global, community-driven and expert-led initiative that publishes freely available open-source guidance for understanding and mitigating security and safety concerns in Generative AI applications. It is aimed at organizations and practitioners adopting or securing Gen AI systems, and it is especially useful for security, governance, and compliance roles that need to connect AI risks to established frameworks. If you are building, deploying, or reviewing Gen AI or agentic AI systems, these resources are designed for you.
Who the resources are for
The project targets a broad set of roles rather than a single audience:
- Security teams assessing risks in applications powered by large language models (LLMs) or AI agents.
- Governance and compliance functions that must map AI risks to existing security, governance, and compliance frameworks.
- Engineering and product teams adopting Generative AI who need practical, open guidance rather than vendor-specific advice.
- Beginners and newcomers who want a structured starting point for Gen AI security.
The initiative is global and community-driven, with members across many countries, so the material is written for an international audience of practitioners rather than a single region or company.
Where different roles should start
The right entry point depends on what you are securing:
| Your focus | Suggested starting resource | Why |
|---|---|---|
| General LLM application security | OWASP GenAI LLM Top 10 2026 | A community-driven guide to the most critical security risks facing applications powered by large language models |
| Mapping AI risks to existing frameworks | GenAI Security Industry Framework Crosswalk | An open-source resource that connects OWASP GenAI security risks to established industry security, governance, and compliance frameworks |
| Agentic AI and AI agents | Agent Control Standard (ACS) | Focused on transparency and control for AI agents operating across cloud, SaaS, on-premises, and other environments |
| Hands-on learning | FinBot CTF | An interactive Capture-The-Flag environment built around a simulated financial services application |
Beginners can reasonably start with the LLM Top 10, while teams working on agents may prefer to begin with the Agent Control Standard.
What the project publishes
The site highlights several freely available, open-source resources:
- OWASP GenAI LLM Top 10 2026 — the latest community-driven guide to the most critical security risks facing LLM-powered applications.
- Agent Control Standard (ACS) — addresses trust and control for AI agents, since widescale adoption depends on transparency and enterprises cannot rely on black-box agents.
- GenAI Security Industry Framework Crosswalk — maps OWASP GenAI security risks to established industry security, governance, and compliance frameworks.
- FinBot CTF — a hands-on companion to the project, offering an interactive Capture-The-Flag environment around a simulated financial services application.
- Blog and events — including coverage of topics such as memory and context poisoning (OWASP ASI06 in the Top 10 for Agentic Applications) and community events like OWASP Global AppSec USA 2026, InfoSec World 2026, and the OWASP Gen AI Security Summit in London at Infosec Europe.
The project describes itself as creating freely available open-source guidance and resources, and it is supported by a large global membership and a set of affiliated standards organizations and projects.
How to decide if it fits your team
Use these conditions to judge fit:
- Choose it if you need open, community-reviewed guidance you can adapt, and you want to align AI security work with recognized frameworks.
- Choose it if your team spans security, governance, and compliance and needs a shared vocabulary for Gen AI risk.
- Consider a different starting point if you only need vendor-specific product documentation, since this project is framework- and guidance-oriented rather than tied to one vendor.
- Start small if you are new: pick the LLM Top 10 or the Crosswalk first, then move to agent-focused material such as the Agent Control Standard as your use of AI agents grows.
Because the resources are open-source and community-led, they are suited to teams that want to contribute feedback or join the community, not just consume documentation.