mitre/advmlthreatmatrix resource

Health v2 · maintenance only

Flags: no_releases no_license

Adoption not part of the score

1110 stars · 112 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

MITRE's Adversarial Threat Landscape for AI Systems (ATLAS), an ATT&CK-style knowledge base of adversarial machine learning attacks, case studies, and tactics. It helps security analysts understand and categorize threats against ML systems.

Use cases

• map adversarial ML attacks to an ATT&CK-style framework
• learn how machine learning systems can be attacked
• find real-world case studies of AI system compromises
• educate security teams on data poisoning and model theft threats
• assess threats to ML pipelines during threat modeling

When to choose

• you are a security analyst needing to understand adversarial ML threats
• you want a structured, ATT&CK-like taxonomy for AI attacks
• you need educational material on securing ML systems

When to avoid

• you need a tool to actively detect or prevent attacks on ML systems
• you want runnable software rather than a knowledge base
• you need up-to-date threat intelligence, as the repo is largely superseded by the atlas.mitre.org site

Facets

learning-resource · maturity maintenance

security documentation security machine-learning artificial-intelligence adversarial-ml threat-modeling mitre-atlas attack-framework ai-security web-server

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markdown · JSON · MCP: product_card(name="mitre/advmlthreatmatrix")