MITRE ATLAS 2026.09 / technique reference

AML.T0109
AI Supply Chain Rug Pull

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MITRE source definition

Adversaries may publish legitimate AI components or software, gain user adoption, then push an update with a malicious variant, leading to [AI Supply Chain Compromise](/techniques/AML.T0010). More scrutiny is often placed on a supply chain dependency when it is first being considered for inclusion in an AI system. Performing a rug pull may allow adversaries to bypass these defenses and be more likely to achieve Initial Access.

Adversaries may [Publish Poisoned AI Artifacts](/techniques/AML.T0115), then attempt to gain user trust and increase adoption before performing the rug pull (See [AI Supply Chain Reputation Inflation](/techniques/AML.T0111)).

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

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Source-backed defensive context

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Simulation and telemetry boundary

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

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