The AI stack is the new attack surface. Most companies have no idea.
Every enterprise is racing to deploy AI, embedding it in their products, their workflows, their most sensitive operations. And almost none of them have asked the most important question: what happens when that AI gets exploited?
We asked it. And then we built the answer.
Rockfort AI exists to make AI systems provably secure, from the prompts going in, to the data coming out, to the governance layer that holds it all accountable. We believe that AI adoption without AI security is just risk accumulation at scale, and we are here to stop that.
Red. Shield. Orion. This is just the beginning.
We started with the three hardest problems in AI security:
Can your AI be attacked?
Rockfort Red finds out before your adversaries do, with automated red teaming that thinks like a real attacker.
Is your data leaking through your AI?
Rockfort Shield sits at the inference layer, watching in real time for the data loss you did not see coming.
Can you prove your AI is compliant?
Rockfort Orion gives you the governance documentation and audit trail that regulators and enterprise buyers are going to demand.
Three products. One mission. And a roadmap that goes much further. The AI security category is still being written. We intend to write most of it.
Built by people who knew this was inevitable.
We did not pivot into AI security when it became a buzzword. We were already here.
Our team carries decades of combined experience building enterprise security and AI/ML systems, the kind that run inside Fortune 100 companies and Swiss banks. We have architected data security infrastructure at scale, shipped products that protect some of the world's most demanding organizations, and studied adversarial AI long before the mainstream caught up.
When the generative AI wave arrived, we recognized it immediately: a massive capability leap with almost no corresponding security maturity. We had seen this pattern before. We knew exactly what was coming.
Rockfort AI is a global team spread across five timezones, united by one obsession: making AI systems secure enough to trust at enterprise scale. We are not learning this space. We are leading it.
If you're building with AI, you need to be securing it.
The question isn't whether your AI systems will be targeted. It's whether you'll be ready. Let's make sure you are.