Article

OWASP GenAI Security Project Releases Top 10 Risks and Mitigations for Agentic AI Security

Culmination of over 100 industry leaders’ input and extensive published resources to deliver critical guidance to address Agentic AI Security risks   WILMINGTON, Del. — Dec. 10, 2025 — The OWASP GenAI Security Project (genai.owasp.org), a leading global open-source and expert community dedicated to delivering practical guidance and tools for securing generative and agentic AI, […]

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Article

OWASP Gen AI Incident & Exploit Round-up, Q2’25

OWASP Gen AI Incident & Exploit Round-up, Q2 (Mar-Jun) 2025 About the Round-up This is not an exhaustive list, but a semi-regular blog where we aim to track and share insights on recent exploits involving or targeting Generative AI. Our goal is to provide a clear summary of each reported incident, including its impact, a

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Article

OWASP Gen AI Incident & Exploit Round-up, Jan-Feb 2025

About the Round-up This is not an exhaustive list, but a semi-regular blog where we aim to track and share insights on recent exploits involving or targeting Generative AI. Our goal is to provide a clear summary of each reported incident, including its impact, a breakdown of the attack, relevant vulnerabilities from the OWASP Top

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Announcement

OWASP AI Security Guidelines offer a supporting foundation for new UK government AI Security Guidelines

The UK Government Department for Science Innovation and Technology (DSIT) published its new voluntary Code of Practice (CoP) for the Cyber Security of AI today, January 31. Based upon 13 principles, the CoP clarifies the responsibilities of different AI stakeholders and is, for the first time, structured alongside the typical AI system lifecycle from planning

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Announcement, Initiatives

Announcing the OWASP LLM and Gen AI Security Project Initiative for Securing Agentic Applications

The OWASP Foundation is thrilled to announce the launch of the Agentic Security Initiative from the LLM and Generative AI Security Project to tackle the unique security challenges posed by Autonomous AI agents. The initiative, part of the OWASP LLM/Gen AI Security Project, known for the Top 10 List for Large Language Models (LLMs), sets

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Announcement

OWASP Reveals Updated 2025 Top 10 Risks for LLMs, Announces New LLM Project Sponsorship Program and Inaugural Sponsors

List for 2025 expands on evolving challenges as new sponsorship program enables OWASP Top 10 for LLMs and Generative AI Project to continue its vital work  WILMINGTON, Del. — Nov. 19, 2024 — The OWASP Foundation today announced an update to the OWASP Top 10 for LLM Applications and Generative AI Project. Additionally, the OWASP

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Announcement

OWASP Dramatically Expands GenAI Security Guidance with Guides for Handling DeepFakes, Building an Ai Security Center of Excellence, and a Gen AI Security Solutions Guide.

Comprehensive resources from respected OWASP Top 10 for LLM Application Security Project open source community empower organizations to adopt and manage generative AI and LLM apps safely  WILMINGTON, Del., Oct. 31, 2024 —  The Open Worldwide Application Security (OWASP) Top 10 for LLM Application Security Project ((OWASP) Top 10 for LLM Application Security Project)  a

OWASP Dramatically Expands GenAI Security Guidance with Guides for Handling DeepFakes, Building an Ai Security Center of Excellence, and a Gen AI Security Solutions Guide. Read Post »

Announcement

New OWASP AI Security Center of Excellence (CoE) Guide

We are excited to announce the release of the OWASP AI Security Center of Excellence (CoE) Guide! Developed by the dedicated OWASP Top 10 for LLMs and Generative AI Security Project team, this guide is designed to help organizations address the complex challenges of adopting and securing generative AI applications and workloads. As AI technologies

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Announcement, Initiatives

Research Initiative – Securing and Scrutinizing LLMS in Exploit Generation

Challenge Currently limited actionable data exists in understanding how different LLMS are being leveraged in exploit generation, and what mechanisms can be used to detect and assess exploits to develop mitigations and guardrails. Initiative Overview This initiative aims to explore the capabilities and risks associated with generating day-one vulnerabilities’ exploits using various Large Language Models

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