MITRE ATLAS 2026.09 / technique reference
AML.T0024.002
Extract AI Model
MITRE source definition
Adversaries may extract a functional copy of a private model. By repeatedly querying the victim's [AI Model Inference API Access](/techniques/AML.T0040), the adversary can collect the target model's inferences into a dataset. The inferences are used as labels for training a separate model offline that will mimic the behavior and performance of the target model.
Adversaries may extract the model to avoid paying per query in an artificial-intelligence-as-a-service (AIaaS) setting. Model extraction is used for [AI Intellectual Property Theft](/techniques/AML.T0048.004).
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
Source-backed defensive context
MITRE mitigations
- AML.M0002 Predictive AI Output Obfuscation
- AML.M0004 Limit AI Service Query Volume and Rate
- AML.M0024 AI Telemetry Logging
- AML.M0035 AI Red Team
MITRE case studies
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
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No explicit relationship in this pinned source.