Home› Compare› MITRE ATLAS

HAIAMM vs MITRE ATLAS

MITRE ATLAS (Adversarial Threat Landscape for AI Systems)

A curated knowledge base of real-world adversary tactics and techniques against AI/ML systems, modeled in the style of MITRE ATT&CK.

✓ Pros

  • The authoritative adversarial-ML threat reference, grounded in real-world cases.
  • Structured tactic/technique IDs that integrate cleanly into threat models and detections.
  • Continuously updated as the adversarial-ML landscape evolves.
  • Free and public.

⚠ Cons / Gaps

  • A threat knowledge base, not a maturity model, no levels, no score, no controls program.
  • Tells you how you can be attacked, not how mature your defenses are.
  • Requires a surrounding framework to translate techniques into prioritized work.
  • Focused on threat; no governance, requirements, or lifecycle coverage.

Why HAIAMM is a strong choice

  • HAIAMM elevates ATLAS to its canonical adversarial-ML reference, threading technique IDs through every threat-relevant practice.
  • HAIAMM pairs ATLAS with its own HAI-specific TTPs (EA / AGH / TM / RA) for agentic risks ATLAS does not yet center.
  • HAIAMM provides the maturity tiers that turn ATLAS techniques into a measurable defensive program.

How they work together

Use ATLAS as the adversary technique catalog; use HAIAMM to measure how maturely your program tags, mitigates, tests, and detects those techniques across all six domains.

← All framework comparisons