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 […]
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
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
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
New OWASP AI Security Center of Excellence (CoE) Guide Read Post »
The OWASP Top 10 for LLM team is excited to announce the release of the Guide for Preparing and Responding to Deepfake Events. This comprehensive resource provides organizations with practical strategies to mitigate the growing risk posed by deepfake technology. Rather than relying on still-maturing deepfake detection solutions and techniques, our guidance emphasizes strong security fundamentals
Red Teaming: The Power of Adversarial Thinking in AI Security (AI hackers, tech wizards, and code sorcerers, we need you!) This is your invitation and an opportunity for you to flex your hacker muscles and dive into the murky waters of Large Language Model (LLM) vulnerabilities. We’re putting together a team to map and tackle
Research Initiative: AI Red Teaming & Evaluation Read Post »
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
Research Initiative – Securing and Scrutinizing LLMS in Exploit Generation Read Post »
Dear Colleagues, I am excited to announce the launch of our data collection initiative for the 2024 edition of the OWASP Top 10 for Large Language Model (LLM) AI Applications. As we continue to explore and address the top security risks associated with LLM AI applications, your expertise and contributions are invaluable. From 𝐌𝐚𝐲 𝟐𝟎𝐭𝐡
Call for Data! Contribute Now to the Top 10 for LLM 2.0 Risk Data Collection Read Post »
Since its inception in May 2023, the OWASP Top 10 for LLM Applications Project has experienced unprecedented growth, swiftly becoming a cornerstone in cybersecurity for AI applications. With its first release in August and a significant update in October, the Top 10 list has been heralded across the industry, earning citations from government agencies, standards bodies, academic
Updates on the OWASP Top 10 for LLM Applications Project V2 Read Post »
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