MITRE ATLAS 2026.09 / technique reference
AML.T0080
AI Agent Context Poisoning
MITRE source definition
Adversaries may attempt to manipulate the context used by an AI agent's large language model (LLM) to influence the responses it generates or actions it takes. This allows an adversary to persistently change the behavior of the target agent and further their goals.
Context poisoning can be accomplished by prompting the LLM to add instructions or preferences to memory (See [Memory](/techniques/AML.T0080.000)) or by simply prompting an LLM that uses prior messages in a thread as part of its context (See [Thread](/techniques/AML.T0080.001)).
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
MITRE case studies
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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
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