OWASP Top 10 for LLM Applications 2026 is the latest community-driven guide to the most critical security risks facing applications powered by large language models. Developed by hundreds of AI security experts, this edition introduces updated rankings, expanded threat coverage, and new research grounded in thousands of real-world AI security incidents. The guide provides practical […]
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This document serves as the foundational taxonomy for the AI and Agentic Red Teaming Solutions Guide. It establishes a common language and structured classification of capabilities across red, blue, and purple teaming, organized by practitioner lifecycle stages. The taxonomy is intended to support companion solutions guides and cheat sheets that map, in detail, how
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The State of Agentic AI Security and Governance provides a comprehensive view of today’s landscape for securing and governing autonomous AI systems. It explores the frameworks, governance models, and global regulatory standards shaping responsible Agentic AI adoption. Designed for developers, security professionals, and decision-makers, the report serves as a practical guide for navigating the complexities
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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 Security Project published a list of the major incidents for the last quarter. This is not designed to be an exhaustive report. This report consolidates major AI-related security incidents and
OWASP GenAI Exploit Round-up Report Q1 2026 Read Post »
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 of risk including prompt injection, model misuse, agent privilege escalation, data poisoning, hallucinations, and emergent behaviors that evolve continuously throughout the AI adoption lifecycle. Gen AI and Agentic Red Teaming
AI Security Solutions Landscape For AI and Agentic Red Teaming Q2 2026 Read Post »
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 AI Threats and Mitigations guide and SecOps tasks, it highlights open-source and commercial solutions by stage, identifying their coverage of Agentic SecOps duties and threat mitigation, and leverages industry and
AI Security Solutions Landscape for Agentic AI Q2 2026 Read Post »
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 the OWASP Top 10 Risks and Mitigations for LLM and Gen AI and SecOps tasks, it highlights open-source and commercial solutions by stage, identifying their coverage of LLM and Gen
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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. — March 19, 2026 — The OWASP GenAI Security Project (genai.owasp.org), a leading global open-source and expert community, growing to more than 25K members, dedicated to delivering practical guidance and tools
Around 400 and people gathered in London on December 10 the for the projects first Agentic AI Security Summit in Europe. Where the GenAI Security Project’s Agentic Security Initiative team released the OWASP Top 10 for Agentic Applications.
GenAI Security Agentic Security Summit, Europe – Livestream Read Post »
The OWASP Top 10 for Agentic Applications 2026 is a globally peer-reviewed framework that identifies the most critical security risks facing autonomous and agentic AI systems. Developed through extensive collaboration with more than 100 industry experts, researchers, and practitioners, the list provides practical, actionable guidance to help organizations secure AI agents that plan, act, and make decisions across complex workflows. By distilling a broad ecosystem of OWASP GenAI Security guidance into an accessible, operational format, the Top 10 equips builders, defenders, and decision-makers with a clear starting point for reducing agentic AI risks and supporting safe, trustworthy deployments.
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