AI guardrails cannot read intent, only conversational patterns, so legitimate red-team probing and real attack attempts can look the same at the boundary. The article explains why persistent questioning, in-context refusals, and topic adjacency can trigger conservative model behavior, creating both false positives and predictable failure modes. #ToxSec
Keypoints
- AI models only see the text stream, not user intent or credentials.
- Repeated boundary probing can look identical to an attack in the model’s context.
- Reassurance like “this is legitimate” provides no in-band proof to the model.
- Near decision boundaries, the same prompt can yield different outcomes across runs.
- In-context refusals can reinforce future refusals and create a consistency trap.
Read More: https://www.toxsec.com/p/why-ai-guardrails-cant-tell-your