Coverage period: July 1, 2026 through September 30, 2026 Overview This roundup consolidates selected major AI-related security incidents and exploit disclosures reported during the coverage period. It aligns each entry to the OWASP Top 10 for LLM Applications 2026 and the OWASP Top 10 for Agentic Applications 2026, with published CVE references where available. It […]
GenAI and Agentic AI Exploit Roundup Q3 2026 Read Post »
Widescale adoption of AI agents depends on trust, and trust requires transparency and control. Enterprises cannot rely on black-box agents operating across cloud, SaaS, on-premises and endpoint environments. Agents must be inspectable, traceable and instrumentable—providing visibility into what they are, what they can access, what they did and why, and the ability to control their
Agent Control Standard (ACS) Read Post »
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, WitnessAI, Evoke Security and Mondoo Inc. join as new sponsors as community expands AI security solutions guidance and surpasses 30,000 members WILMINGTON, Del. — Sept. 2, 2026 — The OWASP
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
OWASP GenAI LLM Top 10 2026 Read Post »
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
Solutions Landscape – Red Teaming Taxonomy Read Post »
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
State of Agentic AI Security and Governance 2.01 Read Post »
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
Al Security Solutions Landscape For LLM and Gen Al Apps Q2 2026 Read Post »
