Triggers in Multimodal Inputs
Description
Adversaries may place instructions or triggers in one part of a multimodal input to influence the model while staying unnoticed by human reviewers and by defenses that do not inspect all input modalities.
Multimodal systems jointly process text alongside other modalities, yet many moderation and filtering controls operate mainly on the textual channel. A payload placed in a modality that is not inspected, or is inspected differently from text, is still parsed by the model but can escape detection, allowing it to alter model output or carry a cross-modal prompt injection.
Examples include instructions placed in an image, audio, or video channel, or carried in file metadata (e.g. EXIF for images, ID3 tags for audio, or document metadata).
- ATLAS ID
- AML.T0129
- Maturity
- FeasibleShown to be possible in principle (proof of concept).
- Platforms
- Generative AIAgentic AI
Mitigations
ATLAS 2026.09 lists no mitigation for this technique.
Case studies that use it
No ATLAS case study records this technique yet. Browse all case studies.