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Lab · AI threat modeling · Detailed card

Direct prompt injection

Forcing the model to ignore its instructions by simply asking.

CardF15
CategoryAI1-TB7 (direct prompt injection)
Layers10 · Prompt Injection Filter, 14 · LLM Interpretation
SystemAI voicebot

Test whether the injection actually reaches a critical workflow.

The threat

a user forces the model to ignore its instructions by asking directly in the conversation (ignore previous instructions).

Blind spotWhy classic frameworks miss it

frameworks do not model a conversation input whose content has authority over the processing engine's behavior.

MitigationProposed approach

compartmentalize instructions (system or user separation) and above all test whether the injection actually reaches a critical workflow: if the toxic output is blocked downstream, the threat is contained.

The proposed control
no unfiltered output reaches a critical workflow.

Expected evidence
the trajectory of an injection up to an effect on the decision path (or a block).

SourcesReferences and public research

MITRE ATLAS 2026.07AML.T0051.000 Direct
OWASP GenAIOWASP GenAI LLM01:2025 Prompt Injection
Public researchPublic research sources: MITRE ATLAS 2026.07 (verified technique mapping), OWASP GenAI, and the public risk-voicebot (aivansoul/risk-voicebot) template defining the 20 checkpoints. No client registry data: generic card, no rating, no verdict.

Explore the 20 security layers

MITRE ATLAS 2026.07 · OWASP GenAI · risk-voicebot