SSG coverage claim · MITRE ATLAS-mapped
Browse AI-system risk by MITRE ATLAS
Browse the MITRE ATLAS v2026.08 tactic & technique taxonomy for AI systems, alongside SSG's own derived coverage tier for each technique — see the methodology note below for exactly what that tier does and does not claim.
Adversarial data are inputs to an AI model that have been modified such that they cause the adversary's desired effect in the target model. Effects can range from misclassification, to missed detections, to maximizing energy consumption.
Tactics
AI Attack Adaptation
ATT&CK cross-reference
No Enterprise ATT&CK cross-reference.
ATLAS mitigations & SSG coverage
AML.M0002
Predictive AI Output Obfuscation
Not addressed
Model-side output transform
AML.M0003
Predictive AI Model Hardening
Not addressed
Training-time model hardening
AML.M0004
Limit AI Service Query Volume and Rate
Partial
Usage metering per device; not a general-purpose rate limiter
AML.M0006
Predictive AI Ensembles
Not addressed
Model architecture choice
AML.M0008
Validate AI Model
Not addressed
Model evaluation practice
AML.M0010
Predictive AI Input Restoration
Not addressed
Model-side input reconstruction
AML.M0015
Predictive AI Adversarial Input Detection
Not addressed
Model-side adversarial input detection
AML.M0019
Control Access to AI Models and Data in Production
Partial
Fail-closed entitlement gating on production value surfaces
Methodology. Catalog: MITRE ATLAS v2026.08 (atlas.mitre.org).
Coverage tiers are derived from MITRE's own published mitigation↔technique mappings — never hand-assigned per technique.
SSG's claim is limited to which ATLAS mitigations it implements as controls; it does not claim to cover ATLAS techniques directly.
A tier records which SSG control exists for a MITRE-published mitigation — it is not a statement about outcome, and it is not a certification, an audit result, or an endorsement by MITRE.