Secure AI Adoption and Governance

The Secure AI Adoption Initiative forms a Center of Excellence (CoE) to enhance security frameworks, governance policies, and cross-departmental collaboration for Large Language Models (LLMs) and generative AI. Through strategic planning, training, and the development of standardized protocols, the initiative ensures that AI applications are adopted safely, ethically, and securely within organizations.

Whats New?

This guide aims to provide practical and actionable guidance for designing, developing, and deploying secure agentic applications powered by large language models (LLMs). It complements

大規模言語モデル(LLM)アプリケーションに関するOWASP Top 10は、AIアプリケーション特有のセキュリティ問題を浮き彫りにし、対処するためのコミュニティ主導の取り組みとして2023年に開始されました。それ以来、この技術はさまざまな業界やアプリケーションに広がり続け、それに伴うリスクも増大しています。LLMが顧客とのやり取りから社内業務に至るまで、あらゆるものに深く組み込まれるにつれて、開発者やセキュリティ専門家は新たな脆弱性を発見し、その対策案に貢献しています。

बड़े भाषा मॉडल अनुप्रयोगों के लिए OWASP शीर्ष 10 2023 में AI अनुप्रयोगों के लिए विशिष्ट सुरक्षा मुद्दों को उजागर करने और संबोधित करने के

GenAI Security Agentic Security Summit, Europe – Livestream
Inside the OWASP GenAI Security Project – Steve Wilson
How OWASP’s GenAI Security Project keeps up with the pace of AI/Agentic changes, with Scott Clinton

Earlier this year, during RSAC 2025, we introduced something the industry had never seen before: an open-source tool capable of generating an AI Software Bill

Introducing the OWASP Top 10 for Agentic AI Applications - our community’s actionable framework for securing autonomous, tool-using AI systems. Built at global scale informed

Culmination of over 100 industry leaders’ input and extensive published resources to deliver critical guidance to address Agentic AI Security risks   WILMINGTON, Del. —

Getting Involved

Open Meeting Schedule

Weekly

04:23

Monday
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Additional Workstream Meetings

Initiative Leads

Sonu Kumar

Core Team MemberInitiative Leaders

Jason Ross

Core Team MemberInitiative Leaders

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