Catalogue of Tools & Metrics for Trustworthy AI

These tools and metrics are designed to help AI actors develop and use trustworthy AI systems and applications that respect human rights and are fair, transparent, explainable, robust, secure and safe.

MITRE Atlas



MITRE Atlas

ATLAS (Adversarial Threat Landscape for Artificial-Intelligence Systems) is a globally accessible, living knowledge base of adversary tactics and techniques against Al-enabled systems based on real-world attack observations and realistic demonstrations from Al 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. ATLAS was developed to raise community awareness and readiness for these unique threats, vulnerabilities, and risks in the broader AI assurance landscape. 

ATLAS can be used to:

  • Inform security analysts and AI developers/implementers of realistic threats to AI-enabled systems;
  • Enable threat assessments and internal red teaming;
  • Understand real-world adversary behaviors and mitigation pathways;
  • Report unique real-world adversary attacks on AI-enabled systems.

About the tool


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Tags:

  • ai risks
  • ai vulnerabilities
  • adversarial ai
  • red-teaming

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Disclaimer: The tools and metrics featured herein are solely those of the originating authors and are not vetted or endorsed by the OECD or its member countries. The Organisation cannot be held responsible for possible issues resulting from the posting of links to third parties' tools and metrics on this catalogue. More on the methodology can be found at https://oecd.ai/catalogue/faq.