Offensive AI Security
Attack your agents
before someone else does.
AI agents improvise. Same agent, different day, different behaviour. The things that make them powerful are the same things that make them vulnerable. We're building the security layer to keep up.
AI agents don't fail the same way twice.
Traditional software is deterministic. Same input, same output. You test it, you ship it, you're done. AI agents are different. They interpret, they adapt, they improvise. The same prompt in a different context can produce completely different behaviour.
That means new, creative ways to break them will keep showing up. Not because anyone built them wrong, but because that's the nature of non-deterministic systems. Security here can't be a one-time audit. It has to keep discovering what's possible now, not what was possible last month.
Adaptive AI red teaming.
We're building a tool that discovers how your specific agent behaves, maps the surfaces unique to your setup, and finds the vulnerabilities that only exist because of how your agent works.
Behavioural Reconnaissance
Before any attack is fired, we map how your agent actually works. What tools does it call? How does it handle files? What does it remember across sessions? This gives us the real picture, not the documented one.
Adaptive Exploit Generation
Based on what we find, we generate attacks specific to your agent. Not pulled from a library. Crafted for the exact gaps in your architecture.
Iterative Convergence
When an attack partially succeeds, we learn from it. Each attempt refines the next. This is how real attackers work. It's why we find things that one-shot scanners miss.
That's where we're starting. AI agent security is a large, unsolved problem and we think it needs more than one product. The red teaming tool is the foundation. What comes next depends on what we learn.
We're looking for design partners.
If you're shipping AI agents, we'd love to talk. We're working with early partners to test and strengthen agents before they hit production.
Research, early access, and community. No spam.
Prefer to reach out directly? hello@deepprobe.io