AI Data Security

The rapid proliferation of Large Language Models (LLMs) across various industries has highlighted the critical need for advanced data security practices. As these AI systems become more sophisticated, they bring with them unprecedented risks, including potential breaches of sensitive information and challenges in meeting stringent data protection regulations.

Whats New?

The OWASP GenAI Data Security Risks and Mitigations 2026 guide provides a critical, forward-looking analysis of the unique data security challenges posed by the rapid,

A Practical Guide for Secure MCP Server Development provides actionable guidance for securing Model Context Protocol (MCP) servers—the critical connection point between AI assistants and

Vendor Evaluation Criteria for AI Red Teaming Providers & Tooling is a practical guide for organizations assessing vendors that offer AI red teaming services or

GenAI Security Agentic Security Summit, Europe – Livestream
Inside the OWASP GenAI Security Project – Steve Wilson
How OWASP’s GenAI Security Project keeps up with the pace of AI/Agentic changes, with Scott Clinton

OWASP GenAI Security Project Releases 2026 Top 10 for LLM Applications, Debuts Agent Control Standard and New Resources for Securing Generative and Agentic AI F5,

As co-lead of OWASP ASI06: Memory & Context Poisoning entry as part of OWASP Top 10 for Agentic Applications , I have spent a lot

FinBot is a hands-on companion to the OWASP GenAI Security Project, offering an interactive Capture-The-Flag environment built around a simulated financial services application. Designed as

Getting Involved

Open Meeting Schedule

Weekly

04:07

Monday
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Additional Workstream Meetings

Initiative Leads

Dmitry Raidman

Core Team MemberInitiative Leader

Rock Lambrose

Core Team MemberInitiative Leader

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AI Data Security