Prove which findings are real without adding headcount.
Your tools surface more potential vulnerabilities than your team can check. Staris tests each one against your running application, tells you which are actually exploitable, and sends the patch along with the proof.
Security teams tell us the same thing: they're spending millions on AI pentesting and still need a room full of people to check the results. Detection got cheap. Validation didn't. The reason is that deciding whether a finding is real usually depends on what the application is supposed to do. An exposed endpoint might be an authentication bypass, or it might be the integration a partner team shipped on purpose last quarter. A permissive query might be an injection path, or the admin tool it was built to be. That knowledge sits with your engineers, so every candidate finding costs you someone's time. Staris reads the code, policies, and data model to learn intended behavior, then tries to exploit the finding. If it can't prove it, it doesn't send it to you.
The Validation Gap
Finding potential vulnerabilities is now nearly free. Proving which ones are real still takes expert human time — so it gets rationed. Batched into one pentest a year, or piled into a queue your team can never clear. The gap between found and proven is where risk actually lives.
Staris closes it. Every finding is proven with a working exploit against your running application and ships with the patch that closes it — at your release cadence, not once a year.
How Staris Transforms Application Security Testing
From automated penetration testing to verified vulnerability reporting, discover how Staris delivers faster, more comprehensive security validation for your team.
In one recent engagement an AI testing run produced 590 vulnerability candidates. Six were real. At 30 minutes of engineer time per candidate, which is optimistic, working through all 590 is about 295 hours, or seven weeks of one engineer to find six things. Staris worked the same 590 candidates in 7 hours and 12 minutes and returned the six with working exploits and PR-ready patches.
SAST, DAST, SCA, and AI pentesters all answer the same question: what might be wrong. They're good at it and getting better, which is why your queue keeps growing. Staris answers the question that comes next: which of these can actually be exploited, and what's the fix. Nothing needs to come out of your stack. The queue just gets shorter.
Trusted by teams shipping secure software
Findings scoped to your application
Staris reads your code, policies, and data model to learn what each application is meant to do, so a deliberate integration doesn't arrive labeled as an authentication bypass.
Validation measured in hours
Testing runs at machine speed against your running application, so your team receives a short list instead of a queue.
Patches arrive with the findings
SAST, DAST, SCA, and AI pentesters all answer the same question: what might be wrong. They're good at it and getting better, which is why your queue keeps growing. Staris answers the question that comes next: which of these can actually be exploited, and what's the fix. Nothing needs to come out of your stack. The queue just gets shorter.