Most pentest tools flag known CVEs. Novee’s agentic AI starts black-box – just a domain name – and autonomously discovers, chains, and validates real attack paths the way a real attacker would. Every confirmed finding comes with personalized, step-by-step remediation built for your stack. Then it retests automatically.
Built by veteran offensive security operators. Purpose-trained on real attacker tradecraft. Not generic LLMs.
Most pentest tools flag known CVEs. Novee’s agentic AI starts black-box – just a domain name – and autonomously discovers, chains, and validates real attack paths the way a real attacker would. Every confirmed finding comes with personalized, step-by-step remediation built for your stack. Then it retests automatically.
Built by veteran offensive security operators. Purpose-trained on real attacker tradecraft. Not generic LLMs.
Always on and self-service – test on demand, no scheduling required.
Finds complex exploit chains and business logic vulnerabilities that scanners and shallow tools miss.
Validates findings with a working exploit and reproducible steps – no false positives, no noise.
Delivers precise remediation based on your architecture and retests automatically.
Continuously map your live environment the way an attacker would – by interacting with real flows, endpoints, and behavior to understand what’s actually exposed.
Test on demand or let Novee fire automatically when code ships.
Understands how your application behaves and tests it for chained attack paths, business logic flaws, authorization gaps, and workflow manipulation that other tools miss.
Context compounds with every cycle, so testing gets deeper, faster, and more targeted over time.
Every finding is independently validated for exploitability, reproducibility, confidence, and real-world impact – complete with working exploits, reproduction steps, and PoC scripts.
Only proven vulnerabilities reach your team.
Get remediation guidance tailored to your specific WAF, backend, frameworks, and infrastructure – or route fixes directly to the AI coding agents your engineering team already uses.
Automatically retests as code changes and environments evolve – learning from each cycle, so testing gets more targeted and effective over time.