Rockfort continuously tests, protects, and governs AI systems so enterprise customers can trust what you've built.
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One platform, three layers of defense: from adversarial testing to runtime protection to employee governance.
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Firewalls and DLP tools don't see prompt injections, data leaking through LLMs, or employees pasting customer data into ChatGPT. Rockfort does.
Traditional compliance frameworks audit your infrastructure. They don't test whether your LLM leaks system prompts, whether your agents can be manipulated into calling APIs they shouldn't, or whether your employees are training public models on customer data.
Red team tools probe code and APIs, not model behavior and prompt vulnerabilities.
WAFs and DLP operate at the network layer. They don't see what's inside a prompt.
ChatGPT, Copilot, and Claude sit outside your perimeter. Traditional DLP can't reach them.
Your enterprise buyers are starting to ask these questions in security reviews. The companies that answer them confidently close faster.
Model and framework agnostic. Plug in once, cover everything your team ships with.
Rockfort helped us identify vulnerabilities before a Fortune 500 customer review, and cut the time we spent answering AI security questionnaires from weeks to days. By the time the review came, we already knew exactly what to say.
We knew our AI needed to meet enterprise security standards before we could scale. Rockfort gave us a clear picture of where we stood and what to fix. The team didn't have to slow down to get there.
Security reviews used to be a black box. With Rockfort, we walked in with the evidence already in hand, cutting the back-and-forth with buyers' security teams from five rounds to one, and closing reviews in days instead of weeks.
Run prompts, spot vulnerabilities, and know exactly where you stand, in minutes.