OWASP Gen AI Security Project
The OWASP Gen AI Security Project focuses on identifying and mitigating security risks associated with Large Language Models (LLMs) and Generative AI technologies. This initiative aims to provide developers, data scientists, and security professionals with actionable insights and best practices to secure AI systems against emerging threats.
Key Features:
- Top 10 Security Risks: A comprehensive list of the most critical vulnerabilities specific to LLMs and Generative AI.
- Guidance and Best Practices: Expert recommendations on how to protect AI systems from various security threats.
- Global Collaboration: Involvement of over 500 experts from diverse backgrounds to ensure a well-rounded approach to AI security.
- Educational Resources: Continuous updates and educational materials to keep pace with the evolving landscape of AI security.
- Community Engagement: Opportunities for organizations and individuals to contribute to the project and stay informed about the latest developments.
Benefits:
- Enhanced Security: Helps organizations implement robust security measures for their AI applications.
- Compliance Support: Aligns with emerging regulations and guidelines for AI security, such as the UK AI Cyber Security Code.
- Trust and Resilience: Fosters trust in AI technologies by addressing security concerns and promoting safe practices.
Highlights:
- OWASP AI Security Summit 2025 participation.
- New resources and guides, including the Agentic AI Threats and Mitigations Guide.
- Translations available in multiple languages to reach a broader audience.
