MITRE ATLAS: Defend and protect your AI-enabled systems with tools and community collaboration for AI security and assurance

MITRE Adversarial Threat Landscape for AI Systems (ATLAS™) is a globally accessible, living knowledge base of adversary tactics and techniques based on real-world attack observations and realistic demonstrations from artificial intelligence (AI) red teams and security groups. There are a growing number of vulnerabilities in AI-enabled systems as the incorporation of AI increases the attack surfaces of existing systems beyond those of traditional cyberattacks. We developed ATLAS to raise community awareness and readiness for these unique threats, vulnerabilities, and risks in the broader AI assurance landscape.

Christina will discuss the latest ATLAS community efforts focused international collaboration, our NATO Research Task Group (open to Enhanced Opportunity Partners, including Australia), and on capturing cross community data on real world AI incidents, growing understanding of vulnerabilities that can arise when using open-source models or data, building new open-source tools for threat emulation and AI red teaming, and developing mitigations to defend against AI security threats.