Probed, Not Presumed Secure. Systematic testing for prompt injection, jailbreak attempts, and instructions hidden in documents or tool outputs — the ways attackers actually get models to do things they shouldn’t.
A model that behaves correctly in every demo can still be manipulated in production. Attackers don’t need your source code — they just need a cleverly worded prompt.
Structured adversarial prompts designed to override system instructions and extract restricted behavior.
Testing for instructions smuggled through documents, emails, or tool outputs your model processes — a growing attack surface as models gain more autonomy.
Confirming your safety layers actually hold under adversarial pressure, not just in the scenarios they were designed for.
Take our free Texas AI Trust Readiness Assessment — a 10-minute, no-obligation scored report covering shadow AI exposure, governance maturity, and compliance gaps.
Assess. Measure. Fortify.
Managed security for the AI era — assessed, assembled, and fortified.
Developed by HACKTRONIAN