Test Your AI Applications Like an Attacker Would

Ongoing, Not One-and-Done. A one-time pen test tells you nothing about the model your team ships next sprint. We run continuous adversarial testing against your live AI applications, so new vulnerabilities get caught as fast as new code ships.

Every model update, every new integration, every agent with expanded permissions is a chance for something to slip through. Companies shipping AI features without ongoing security testing are finding out about vulnerabilities from customers, researchers, or attackers — not from us.

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.

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.

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.

Scheduled adversarial testing that runs alongside your release cycle, so security keeps pace with how fast you’re actually shipping AI features — not stuck on an annual audit calendar.

Not Sure Where to Start?

Take our free Texas AI Trust Readiness Assessment — a 10-minute, no-obligation scored report covering shadow AI exposure, governance maturity, and compliance gaps.