Detailed comparison
How Vigolium and Gimorra stack up against every alternative: pentesters, scanners, bug bounties, AI code reviewers, and the latest AI security tools.
Competitive landscape
Where Gimorra fits
Vigolium is the engine you run. Gimorra is the autonomous pentest agent built on it, running the whole engagement on its own.
You drive the scan.
- Native scan on every push, agentic scan before every release
- 215+ scanner modules in one binary
- Every finding ships with the request that proves it
- Runs on your own infrastructure, in your own CI
It runs the engagement.
- One command: recon, scan, propose PoCs, prove, report
- Any starting point: URL, host, IP range, repo or app bundle
- Every candidate re-proved by the engine before it counts
- One auditable engagement folder per run
- Maximizes the intelligence of the model you bring
Why AI code review ≠ security testing
The new wave of AI tools reviews your diff. A hacker attacks your running app. Three structural differences:
Scope
AI code reviewers see the 40 lines in your PR.
Vigolium ingests the entire repo: every route, every auth flow, every downstream service, plus the live running app.
You can't find a cross-endpoint auth bypass by staring at one file.
Action
AI code reviewers reason about code and leave suggestions.
Vigolium writes exploit payloads, fires them at your app, and watches the response.
Static reasoning can't prove a bug is exploitable. A real request can.
Signal
AI code reviewers produce prose hints, often wrong, always unvalidated.
Vigolium produces a finding with an HTTP request, a response, and a reproduction.
Your engineers don't need more opinions. They need proof.
What AI code reviewers structurally can't catch
- Cross-endpoint auth bypass (needs whole-repo context)
- IDOR chains spanning multiple files or services
- Runtime-only misconfig (leaked headers, debug endpoints, env drift)
- Business-logic race conditions
Vigolium vs. GPT-5.5 Cyber
Head-to-head on the exact job a security buyer is trying to do.
- GPT-5.5 Cyber
- 3 findings, low severity
- Vigolium
- 38 findings, including criticals
- GPT-5.5 Cyber
- Diff / file you paste
- Vigolium
- Entire repo + live app
- GPT-5.5 Cyber
- Reasons about source
- Vigolium
- Writes exploits, fires them
- GPT-5.5 Cyber
- Natural-language hints
- Vigolium
- Validated finding + HTTP PoC
- GPT-5.5 Cyber
- High, not validated
- Vigolium
- Near zero, runtime-confirmed
- GPT-5.5 Cyber
- Partial
- Vigolium
- Whole-repo reasoning
- GPT-5.5 Cyber
- Static only
- Vigolium
- Observed live
- GPT-5.5 Cyber
- Prose
- Vigolium
- Request / response + repro
- GPT-5.5 Cyber
- Rarely, lacks exploit depth
- Vigolium
- Consistently surfaces critical and high-severity vulns with proof
Vigolium vs. Opus 4.7
Claude Code is a strong coding agent. Vigolium is built for serious security audits.
Vigolium found 37 critical and high severity vulnerabilities compared to 2 findings in normal Claude Code, even with skills enabled.
Claude Code with Opus 4.7 can produce a solid static security review. Vigolium goes further: audit the entire repo, validate findings with proof, and deliver actionable results.
Ready to see the difference?
From zero to first real finding in under 10 minutes.
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Real vulnerability scan reports from popular open-source projects, produced by Vigolium's agentic scanning engine.
Vigolium agentic audit showcases
- findings
- 2,166+
- projects
- 67+
- lines of code
- 79.4M+