MITRE ATLAS 2026.09 / technique reference
AML.T0056
Extract LLM System Prompt
MITRE source definition
Adversaries may attempt to extract a large language model's (LLM) system prompt. Adversaries achieve this via prompt injection that induces the model to reveal its system prompt, or they may extract it from a configuration file.
System prompts can be a portion of an AI provider's competitive advantage and are thus valuable intellectual property that may be targeted by adversaries.
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.M0020 Generative AI Guardrails
- AML.M0021 Generative AI Guidelines
- AML.M0022 Generative AI Model Alignment
- AML.M0035 AI Red Team
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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