MITRE ATLAS (Adversarial Threat Landscape for AI Systems) is a knowledge base of adversarial techniques against AI. ai-blackteam maps every attack to specific ATLAS technique IDs from release 2026.09.

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Viewing ATLAS mappings

This prints a table of every attack with its ATLAS technique IDs and names:

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Key techniques mapped

ai-blackteam defines 69 ATLAS techniques and exercises 41 of them with its attack library:

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Using ATLAS in reports

Each attack’s metadata includes its ATLAS technique IDs. When you run ai-blackteam taxonomy, the MITRE ATLAS column shows these IDs alongside OWASP mappings. For threat modeling, you can use ai-blackteam’s ATLAS mappings to demonstrate which adversarial techniques you’ve tested against. This is useful for:
  • Red team reports - Reference specific ATLAS technique IDs your testing covered
  • Threat models - Map your model’s attack surface to ATLAS tactics
  • Security assessments - Show which techniques are blocked vs. which succeed

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Viewing the full framework

For a complete view of all framework mappings (NIST, EU AI Act, MLCommons, ATLAS) for each harm category:
This prints three tables: NIST AI RMF functions, EU AI Act risk classification, and a combined harm category alignment matrix.