Framework
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.
Top tactics
- Reconnaissance
- Resource Development
- Initial Access
- ML Model Access
- Execution
- Persistence
- Privilege Escalation
- Defense Evasion
- Credential Access
- Discovery
- Collection
- ML Attack Staging
- Exfiltration
- Impact
Use cases
Threat-modeling sessions, adversarial-test planning, SOC detection content authoring, IR playbook design, board-level threat communication.
Posture Check checkpoint
ATLAS techniques surface across multiple Posture Check dimensions. Most directly: prompt (Q11–Q15), model (Q16–Q20), and runtime (Q21–Q25).
Score yourself against this framework.
The AI Posture Check is a free 30-question self-assessment that maps your gaps directly to OWASP LLM Top 10, NIST AI RMF, and ISO 42001.
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