We distilled the expertise of elite offensive operators into an AI system that continuously breaks into your environment, uncovers real exploit chains, and tells you exactly how to fix them – fast.
Manual penetration testing and scanners stop at detection. Novee discovers, validates, and tells you exactly how to fix each issue – then automatically retests to verify the fix.
We distill offensive tradecraft, tools, and exploitation knowledge into a specialized reasoning model that outperforms general LLMs on cyber-specific tasks – so findings reflect real attack behavior.
We can begin like a real adversary, with zero knowledge – and then expand into gray- and white-box context for deeper coverage. (So you get value immediately without exposing crown jewel access.)
AI coding assistants and vibe coding help you push new code faster than you can secure it – leaving giant blind spots for attackers to exploit.
Launching advanced persistent attacks used to take time and skill. Now it’s automated, continuous, and running 24/7.
A once-a-year pentest? Perfect. That’s 364 days to run wild – especially when automated scanners only catch generic, known vulnerabilities.
Continuously map your live environment the way an attacker would – by interacting with real flows, endpoints, and behavior to understand what’s actually exposed.
Continuously attack your applications to uncover real exploit chains, business logic flaws, and vulnerabilities that scanners consistently miss.
Every issue is confirmed with clear steps to replicate and real impact, so your team can ignore false alarms and focus only on issues that truly put you at risk.
Get clear, personalized, step-by-step fixes tailored to your architecture, tech stack, and business logic. (Not generic scanner advice.)
Automated assessments adapt to your evolving infrastructure – retesting with new deployments, code changes, and emerging threats.
We built an AI hacker that thinks like the attackers we used to be, and armed it with years of offensive security knowledge and techniques.