Break it.Prove it.Fix it.
AI-driven continuous pentesting, black box, grey box or white box, on every deploy or your own schedule instead of once a year. Every finding comes back with whatever proves it, and a fix you can merge.
What every run gives you
You ship every week. You get tested once a year.
A yearly pentest checks one version of your app. Every deploy after it goes out untested until the next one.
The usual alternatives each miss something.
Each one trades away time, proof, depth or context.
Manual pentest
Weeks to a report that is out of date by your next deploy.
Static analyzers
No pattern exists for who may do what in your application.
DAST scanners
Test what the crawler reached. Logins and APIs go unvisited.
Generic AI
Skips files, confirms nothing, fills the gaps with guesses.
Finds the complex issue, proves it is real and opens the fix, in the same run. Then runs again on your schedule.
One finding, from scan to fix.
Follow a real kind of finding through a run: found, proven, fixed as a pull request, and closed by the next scan.
- 01Connect
- 02Scan
- 03Prove
- 04Fix
- 05Retest
Transcript
- Connect GitHub, GitLab or Bitbucket so it can read the code.
- Pick a repo and start a scan on it.
- Choose how deep it goes. White box adds the source code.
- It signs in as Company A and asks for Company B's customers.
- When every agent is done, the finding is written up with its proof.
- Done in hours, not weeks. The report is ready the moment the scan ends.
- Findings land in Slack and Jira, or wherever your team already works.
- Every finding comes with a description, risk score and remediation.
- Observations show the exact request, response and data returned.
- The cause: the query trusts the company ID in the URL.
- The fix checks that the user belongs to that company.
- It opens as a pull request for your team to review and merge.
- The next scan replays the proof. This time it gets a 404.
- So the finding resolves on its own, with the failed replay as evidence.
- And it keeps going. Every scan brings new findings, each with its proof.
What the agent actually does.
Pick how deep it goes.
Black box needs only a URL. Grey box adds test accounts. White box adds the source. It tests the app as deployed, so your stack never matters.
- Black, grey or white box
- Any language or framework
- Nothing to install

Runs on the schedule you set.
Weekly, monthly, quarterly or on every deploy. Each run tests what is live at that moment, and every run ends with a report.
- Deploys, merges, releases or a CI hook
- A report for every run
Reads every path in the code.
Connect GitHub, GitLab or Bitbucket and it follows the path behind each endpoint instead of guessing it, including committed secrets and dependencies.
- Every path, not a sample
- Secrets and dependencies

Writes the fix as a pull request.
The patch lands on its own branch against your codebase. Review it file by file and merge what you want.
- Its own branch
- File-by-file review

What lands in your queue.
Every finding brings its own proof.
The request that shows it, the response that proves it, and the line of code that causes it. Check it yourself instead of trusting a score.
Findings go where your team already works.
Tickets, alerts and pull requests open in the tools you use, so nobody copies a finding out of a report.
Built by people who have done the assessments.
Hundreds of web applications tested by hand, the reports written for engineers and boards, the fixes shipped. A finding nobody can act on was never worth reporting.
- Hundredsof web applications tested by hand
- Reportswritten, and received
- Fixesshipped into production
- Two readersengineers and boards, in every finding
Stop triaging noise.
Start merging proof.
Give interopt a target. The first findings land within hours, each with its proof attached.
