MITRE ATLAS 2026.09 / technique reference
AML.T0035
AI Artifact Collection
MITRE source definition
Adversaries may collect AI artifacts for Exfiltration or for use in AI Attack Staging. AI artifacts include models and datasets as well as other telemetry data produced when interacting with a model.
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.M0001 Limit Model Artifact Release
- AML.M0005 Control Access to AI Models and Data at Rest
- AML.M0012 Encrypt Sensitive Information
- AML.M0017 AI Model Distribution Methods
MITRE case studies
- AML.CS0010 Microsoft Azure Service Disruption · Exercise
- AML.CS0018 Arbitrary Code Execution with Google Colab · Exercise
- AML.CS0023 ShadowRay: Hijacking Exposed Ray Clusters · Incident
- AML.CS0058 Google Photos AI Model Extraction · 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.