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?

As organizations increasingly deploy generative AI and autonomous agents into business-critical workflows, traditional application security practices are no longer sufficient. AI systems introduce new classes

The Solutions Landscape monitors and maps the full Agentic AI lifecycle, focusing on the DevOps–SecOps intersection to meet evolving security needs. Guided by the Agentic

The Solutions Landscape monitors and maps the full LLM and Generative AI lifecycle, focusing on the DevOps–SecOps intersection to meet evolving security needs. Guided by

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

At RSAC 2026, the community got an early look at FinBot through the OWASP GenAI Security Summit and Open Workshop, including the session “FinBot: An

OWASP GenAI Exploit Round-up Report Q1 2026 Coverage period: January 1, 2026 through April 11, 2026 Overview For the last two years the OWASP GenAI

New resources, a full week of RSA programming and growing industry adoption mark a milestone moment for the open-source AI security community WILMINGTON, Del. —

Getting Involved

Open Meeting Schedule

Weekly

04:07

Monday
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Additional Workstream Meetings

Initiative Leads

Sonu Kumar

Initiative Leaders

Jason Ross

Core Team MemberInitiative Leaders

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