Vulnerability scenario

Vulnerability prioritization with explainable risk.

A staged exposure — a public-facing component with a known patch path — prioritized the way your backlog deserves: by exploit likelihood, business impact, and effort, with the reasoning shown.

Vulnerability scenario

How this scenario works.

The scenario

A public-facing dependency has a known vulnerability with a moderate exploit likelihood and an available patch. The demo shows how the AI ranks it against competing work and why.

  • Realistic exposure pattern
  • Exploit likelihood weighed
  • Business impact considered
  • Reasoning shown, not hidden
From ranking to plan

The output is a defensible order of work: patch review, rollback test, deployment, and verification. In a pilot, that plan lands with your team for approval — never executed on its own.

  • A defensible priority order
  • Patch, test, deploy, verify steps
  • Plan proposed to your team
  • Nothing executed automatically
The synthetic-only rule

Public AI demos use synthetic scenarios only. They do not accept real customer data, do not run live investigations, and do not take actions.

  • No scanner connection
  • No real asset data
  • No configuration access
  • No external action
Synthetic demo

Run a safe staged scenario.

No upload, no live investigation, no autonomous action.

No scenario run yet.
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