- GEN AI SECURITY
- INITIATIVES
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?
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
- Project
GenAI Security Agentic Security Summit, Europe – Livestream
- OWASP GenAI Security Project
- Audience - All
- Topics - Agentic Security
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
Getting Involved
- #team-genai-data-security-initiative
Open Meeting Schedule
Weekly
04:07
Monday
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