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MITRE ATLAS

MITRE ATLAS (Adversarial Threat Landscape for AI Systems)

By Clear Infosec · Last reviewed: August 2026

MITRE ATLAS is a knowledge base of adversary tactics and techniques against AI and machine-learning systems, modeled after MITRE ATT&CK.

Request a scoping call Official source: MITRE

What is MITRE ATLAS?

ATLAS documents real-world and researched techniques attackers use against AI systems, from data poisoning and model evasion to prompt injection and model extraction.

It gives defenders and testers a common taxonomy to threat-model and assess AI systems.

Who does MITRE ATLAS apply to?

Teams building, deploying, or securing AI and machine-learning systems who need a structured way to reason about AI-specific threats.

Key security expectations

  • Threat-model AI systems using ATLAS tactics and techniques.
  • Assess exposure to data, model, and inference-time attacks.
  • Map findings to mitigations and monitoring.

How an assessment works

  1. 1
    Map the AI system, data, and interfaces.
  2. 2
    Select relevant ATLAS techniques for testing.
  3. 3
    Test the system (including prompt injection and abuse cases).
  4. 4
    Report findings mapped to ATLAS and recommend mitigations.

Typical evidence

AI system and data-flow modelATLAS-mapped test cases and findingsMitigation and monitoring recommendations

Testing and MITRE ATLAS: Clear Infosec references ATLAS alongside the OWASP LLM Top 10 when testing AI and LLM systems, so findings tie to a recognized adversarial taxonomy.

How Clear Infosec helps with MITRE ATLAS

Related Clear Infosec services that support MITRE ATLAS:

Vulnerability Assessment & Penetration Testing

Find and prove real risk before attackers do.

Red Teaming

Objective-based adversary simulation.

Frequently asked questions

What is MITRE ATLAS?

MITRE ATLAS is a knowledge base of adversary tactics and techniques targeting AI and machine-learning systems, structured like MITRE ATT&CK for traditional IT.

How is ATLAS used in AI security testing?

It provides a taxonomy to threat-model AI systems and to map test findings to recognized adversarial techniques such as evasion, poisoning, and model extraction.

This page is general information, not legal or regulatory advice. Requirements are defined by the authoritative body linked above.

Preparing for MITRE ATLAS?

Talk to Clear Infosec about a readiness assessment, gap analysis, or testing aligned to MITRE ATLAS.

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