Use case · Cybersecurity

A thousand alerts in. One short fix list out.

Open-source scanners cover the breadth across code, cloud, and dependencies. Claude triages each finding by whether it is actually reachable, drafts the patch, and pages you only for the risks that can really be exploited.

No calls, no retainer, no code. Month-to-month, cancel anytime.

Built for teams who would rather patch the one finding that can be exploited than wade through a thousand that cannot.

01 Scan

Your whole attack surface, mapped

Open-source scanners run across source code, dependencies, secrets, cloud config, and exposed services in one continuous pass. You get the breadth of ten tools without wiring ten tools together.

scan

What gets scanned

Source code and SAST rules
Dependencies and known CVEs
Hardcoded secrets and tokens
Cloud and IaC misconfig
Exposed services and ports
Container images and SBOM
  • Code, IaC, containers, and live cloud covered in a single recurring sweep.
  • Leaked secrets and vulnerable dependencies flagged before they ship.
  • Read-only by default. Nothing destructive runs against your systems.
02 Triage

Severity that means something

Raw scanner output is mostly noise. Claude reads each finding in context, demotes the unreachable and the false positive, and ranks what survives by how exploitable it actually is.

  • Each finding scored on real reachability, not just a CVSS sticker.
  • Related issues chained across code, cloud, and runtime into one risk.
  • False positives dropped so the queue stays short and real.
triage

Findings by severity

Public storage bucket exposing credentialsCritical
Outdated auth library with known CVEHigh
Verbose error leaks a stack traceMedium
Missing security response headerLow
Deprecated TLS cipher still offeredInfo
fix

Illustrative scan profile

Attack surface covered96%
Scanner noise filtered out84%
Findings with a drafted fix71%
Escalated to a human9%
03 Fix

The patch is already drafted

For findings that matter, Claude drafts a minimal fix as a ready-to-review diff and checks that it applies cleanly to your repo. You approve, it opens the pull request. Nothing merges without you.

  • Minimal unified diffs, checked against your repo before you see them.
  • One approval opens a branch and a pull request on your terms.
  • A plain-language writeup on every finding so the reasoning is clear.
How it works

Live in days, not quarters

1

Point it at your stack

Connect your repos, cloud accounts, and services. The system maps your attack surface and starts running the right scanners against it.

2

Claude triages the haul

Each raw finding is read in context, scored on real exploitability, deduped, and chained. The noise drops out before it ever reaches you.

3

Review only what matters

Real risks land in a short queue with a drafted fix attached. Approve the patch and it opens the pull request. Everything else stays quiet.

24/7
Continuous surface mapping and scanning
Real-risk
Triage by exploitability, not raw CVSS
Drafted
Fixes written and checked before review
What the system actually does

Not testimonials. These are the capabilities you get when it runs.

Exploitability triage

Claude reads each scanner finding in context and drops the unreachable so the queue holds only risk that can actually be exploited.

Correlated, not scattered

Code, dependency, secret, cloud, and runtime findings are chained into single risks instead of arriving as separate alerts.

Fix, not just flag

For real findings the system drafts a minimal patch, checks it applies cleanly, and opens a pull request only after you approve.

FAQ

Questions, answered

The scanners are only the breadth layer. The value is the triage on top: Claude reads each finding by real exploitability, demotes the unreachable, chains related issues into one risk, and drafts the fix. You get a short queue of real risk instead of thousands of raw alerts to sort by hand.

Proven open-source scanners do the breadth and Claude does the triage. The scanners are read-only: they inspect your code, config, dependencies, and services without exploiting or altering anything. Fixes are drafted as diffs and checked locally, and nothing is committed, pushed, or merged until you explicitly approve it.

This is the full platform you run: the scanners, the triage, the correlation, the patch and pull-request flow, and the dashboard. The agent is one autonomous worker focused on continuous monitoring and triage. The system is the whole platform; the agent is one piece operating inside it.

That is the exact problem it exists to kill. False positives and unreachable findings are filtered before they reach you, related issues are merged into single risks, and only what is genuinely exploitable gets escalated. The goal is fewer alerts and faster real fixes, not another dashboard to ignore.

Cut the noise. Fix what is real.

See your true attack surface triaged by exploitability, with patches already drafted. Point it at your stack and get back the short list that actually matters.