Find the vulnerabilities that don’t have a name yet.
Scanners only know what’s already been published. Our AI security researcher hunts for novel, previously-unseen vulnerabilities in your systems, the kind a motivated attacker finds first, and every candidate is validated by hand before it reaches you.
The risk isn’t the issue someone already catalogued.
Known isn’t the same as safe
The breaches that hurt rarely use a published CVE. Signature-based tools can only match what’s already been written down; the novel path is the one nobody’s looking for.
A researcher, not a scanner
Our AI security researcher reasons about your actual application logic, trust boundaries, and data flows to surface weaknesses specific to your system, not a generic payload list.
Human-validated, every time
Operators reproduce and confirm each novel finding, set honest severity, and strip anything that isn’t real. You get proof with reproduction, not speculation.
The places novel bugs actually live.
Business logic
Abuse of how your product really works: flows, states, and assumptions a generic test never sees.
Chained, multi-step paths
Individually-minor issues combined into real impact, the way an attacker would actually string them together.
System-specific weaknesses
Auth and identity edge cases, data-flow gaps, and AI/agent behavior unique to your stack.
Common questions.
How is this different from a vulnerability scanner?
A scanner matches known signatures and published CVEs. Our AI security researcher reasons about your specific application logic, trust boundaries, and data flows to find weaknesses that have never been catalogued, then human operators validate each one. The difference is novel proof, not a longer list of knowns.
Can you really find zero-days?
We hunt for them, and we regularly surface issues no signature would catch. What we won’t do is promise a number or guarantee a result. You get every novel finding we can prove, with reproduction steps, plus an honest read on what we couldn’t reach.
Is this a separate product?
No, it’s how we test. Novel-vulnerability research runs inside our AI Pentest and Continuous engagements; ask us to scope the depth your system needs.
Find the bug before someone else names it.
Send the system and the scope, and we’ll tell you honestly what we can prove.