AI Security Workstream

Frontier AI systems represent high-value targets for adversaries and threat actors. As these systems evolve in capability and complexity, securing the environments in which frontier AI systems are trained and deployed will be an increasingly difficult challenge. Through its AI Security workstream, the FMF aims to meet that challenge by identifying and developing security practices for frontier AI development and deployment.

The FMF’s approach combines established cybersecurity principles with cutting-edge research on AI-specific security measures. Through focused workshops and collaborative initiatives, we bring together cybersecurity professionals and AI researchers to develop comprehensive security frameworks, risk assessment methodologies, and mitigation strategies. This work includes identifying emerging challenges, addressing critical security gaps, and establishing best practices for frontier AI security.

By fostering open dialogue and information-sharing among stakeholders while carefully managing information security risks, we aim to establish strong, scientifically-grounded foundations for frontier AI security. Our goal is to enable the responsible and secure advancement of frontier AI systems through the development and dissemination of best practices that address both traditional and AI-specific security threats.

Recent Publications

AI for Cyber Defense. November 22, 2024.

Foundational Security Practices. July 31, 2024.