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AI Vulnerability Management

Turn security findings into a clear plan of action. OpenHack uses exploitability, application context, and business impact to help your team fix what matters first.

How it works

OpenHack connects each finding to the application around it: where the affected component runs, who can reach it, what data it handles, and which business workflows depend on it. Exploit evidence and developer intent give every issue the context a severity score leaves out.

That context becomes a prioritized remediation queue. Your team can see why an issue matters, what to do next, and how the fix connects to the original finding. Evidence stays with the work through review and regression checks.

From security findings to the right next fix

Bring every finding into focus

Bring findings from codebase scanning, AI pentesting, secrets, and supply chain analysis into one workflow. Keep the affected component, evidence, and required conditions together, so your team can understand an issue without piecing the story together across separate reports.

Prioritize business risk, not just severity

A finding that exposes customer data in production deserves different attention from one in an unreachable development dependency. OpenHack weighs real exploitability, exposure, and business impact to put the most consequential issues at the top of your queue, with the reasoning behind each priority.

Understand the impact behind every issue

See the roles, services, sensitive data, and business workflows connected to a finding. OpenHack considers how your application is intended to work alongside its observed behavior, helping your team understand the affected boundaries and potential blast radius before deciding on a fix.

Keep the finding and the fix connected

Carry the evidence into remediation. Keep the original issue, fix work, review, and regression checks in the same trail, so your team can follow a vulnerability from discovery to a verified resolution. Preserve that context as code and infrastructure change.

What you get

  • A remediation queue ranked by exploitability and business impact
  • Finding evidence, affected components, and required access conditions
  • Application context that explains exposure and potential blast radius
  • A connected record of fixes, reviews, and regression checks

Put your AI security engineer to work.

Connect your security findings to the context behind them. Give your team a clear priority and a traceable path from each issue to its resolution.