
Security and evidence for AI support agents
Every AI support agent takes input from someone it should not trust: the customer message, the documents it retrieves, and the tool calls it proposes. Koreshield screens all three before they become trusted model behavior or application execution. Data leaks, hidden instructions in help articles, policy drift and unsafe agent actions are checked before the model acts, and every decision is recorded. One call to integrate.
Scored deterministically. Only candidates that fire a story trigger are sent to a model, so this one has no written angle.
Gaps in our data, not findings about the product. Their weight is redistributed across the 5 we did measure.
A source that found nothing is a measurement. A source that has not run is a gap. Neither means the launch lacks the thing.