Framework guide
MITRE ATLAS for AI Defenders
MITRE ATLAS (Adversarial Threat Landscape for AI Systems) is a knowledge base of tactics, techniques, and case studies for adversarial machine learning. Modeled on MITRE ATT&CK. Used by defenders to model AI-specific threats.
- Publisher
- MITRE
- Kind
- Knowledge base of adversary tactics and techniques
- Modeled on
- MITRE ATT&CK
- In the check
- Cited by 2 of the 16 questions
Tactics
The tactics, in order
ATLAS follows the ATT&CK shape: an adversary moves left to right, from learning about your model to doing damage with it.
| Order | Tactic |
|---|---|
| 01 | Reconnaissance |
| 02 | Resource Development |
| 03 | Initial Access |
| 04 | ML Model Access |
| 05 | Execution |
| 06 | Persistence |
| 07 | Privilege Escalation |
| 08 | Defense Evasion |
| 09 | Credential Access |
| 10 | Discovery |
| 11 | Collection |
| 12 | ML Attack Staging |
| 13 | Exfiltration |
| 14 | Impact |
Use case
Where teams use it
Threat-modeling sessions, adversarial-test planning, SOC detection content authoring, IR playbook design, board-level threat communication.
Posture Check
Where the check cites it
The AI Posture Check cites MITRE ATLAS among its reference frameworks.
Related
Other frameworks the check cites
Ready when you are
Score yourself against this framework.
Five questions, each citing its source. You get your stage, your place on the chart and the one move that matters next.
- A few minutes for most people
- Free, from CWS
- Your stage, the chart and the next move, by email or live with an engineer