AML.T0063
Discover AI Model Outputs

MITRE source definition

Adversaries may discover model outputs, such as class scores, whose presence is not required for the system to function and are not intended for use by the end user. Model outputs may be found in logs or may be included in API responses. Model outputs may enable the adversary to identify weaknesses in the model and develop attacks.

Source modified 2026-05-27. Reproduced from the pinned ATLAS release; inline technique links resolve to local reference pages.

Parent, sub-techniques and ATT&CK references

No explicit relationship in this pinned source.

Source-backed defensive context

MITRE mitigations

• AML.M0002 Predictive AI Output Obfuscation
• AML.M0012 Encrypt Sensitive Information
• AML.M0017 AI Model Distribution Methods
• AML.M0019 Control Access to AI Models and Data in Production

MITRE case studies

• AML.CS0003 Bypassing Cylance's AI Malware Detection · Exercise
• AML.CS0008 ProofPoint Evasion · Exercise

These are explicit source relationships, not independently reproduced incidents or validated detection coverage.

Simulation and telemetry boundary

This is a technique reference page, not a runnable simulation. No ATLAS-specific telemetry mapping, local attack execution or detector validation is asserted. MITRE maturity describes its source evidence, not a 1200km lab result.

For broader context—not technique-specific control mappings—see AI Security, AI Security Course, and detection-validation methodology.

Provenance and attribution

Immutable MITRE ATLAS source · Import provenance · Attribution and transformation notice · Apache License 2.0

Copyright 2021-2026 MITRE. Source text and explicit relationships are retained; navigation, formatting and local links are provided by 1200km.

No explicit relationship in this pinned source.