Adversarial Threat Landscape for Artificial-Intelligence Systems
If your organisation undertakes adversarial simulations, you may wish to lean on ATLAS where AI systems play a role in identity, access control, or decision support.
“MITRE ATLAS™ (Adversarial Threat Landscape for Artificial-Intelligence Systems), is a knowledge base of adversary tactics, techniques, and case studies for machine learning (ML) systems based on real-world observations, demonstrations from ML red teams and security groups, and the state of the possible from academic research. ATLAS is modeled after the MITRE ATT&CK® framework and its tactics and techniques are complementary to those in ATT&CK”
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