We test your network like an attacker would, not like a scanner. Starting at the external perimeter and working through your internal environment and Active Directory, we manually validate which weaknesses can actually be exploited. Then we chain weak credentials, misconfigurations, and unpatched systems into the paths that reach your critical assets. You get proof of real impact, a clear explanation of how we got there, and prioritized guidance on where to break the chain first.

Automated scanners catch the obvious. We test for what they can't: broken access controls, authentication and session flaws, injection, and business logic that only fails when someone understands how your application is meant to work. We cover the app and its APIs, and every finding comes reproducible, tied to real business impact, and written for the developers who have to fix it.

We emulate a determined attacker pursuing a defined objective, such as gaining control of your domain, accessing sensitive data, or reaching another critical asset. Instead of trying to uncover every vulnerability, we use real-world tactics across technology, people, and processes to gain a foothold, move through your environment, and evade detection. You come away knowing how far an attacker could get, what your defenses caught or missed, and where to improve prevention, detection, and response.

AI features add attack surface that traditional testing doesn't cover. We probe LLM-powered applications for prompt injection, jailbreaks, sensitive data leakage, and abuse of the tools, integrations, and data the model can reach. As you hand more of your product's decisions to a model, we show you exactly where it can be manipulated and what that puts at risk, so you can address it before it ships.