Verified, Not Trusted by Default. We test whether your model can be tricked into leaking training data, system prompts, or other users’ data — and whether its outputs can be manipulated into something harmful before they reach a customer.
Models can inadvertently expose training data, internal prompts, or one user’s data to another. These failures often aren’t caught until a customer or researcher finds them first.
Structured attempts to extract training data, system prompts, or cross-user information the model shouldn’t reveal.
Testing whether model outputs can be manipulated into harmful, biased, or brand-damaging content before it reaches an end user.
Before you build on a third-party foundation model or fine-tuned variant, we assess it for known vulnerabilities, licensing risk, and provenance — so you know what you’re actually inheriting.
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