++++

Detailed Comparison

How Vigolium stacks up against every alternative: pentesters, scanners, bug bounties, AI code reviewers, and the latest AI security tools.

Competitive Landscape

Always on, not a snapshot
Pentester
Scanner
Bug Bounty
AI Reviewer
Vigolium
Reads entire repo (not just diff)
Pentester
Scanner
Bug Bounty
AI Reviewer
Vigolium
Runs against live app
Pentester
Scanner
Bug Bounty
AI Reviewer
Vigolium
Produces validated PoC / evidence
Pentester
Scanner
Bug Bounty
AI Reviewer
Vigolium
AI filters false alarms
Pentester
Scanner
Bug Bounty
AI Reviewer
Vigolium
Scales to hundreds of apps
Pentester
Scanner
Bug Bounty
AI Reviewer
Vigolium

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.

Dimension
GPT-5.5 Cyber
Vigolium
Findings
3 findings, low severity
38 findings, including criticals
Input scope
Diff / file you paste
Entire repo + live app
Method
Reasons about source
Writes exploits, fires them
Output
Natural-language hints
Validated finding + HTTP PoC
False-positive rate
High, not validated
Near zero, runtime-confirmed
Cross-file auth / IDOR chains
Partial
Whole-repo reasoning
Runtime misconfig
Static only
Observed live
Evidence a dev can act on
Prose
Request / response + repro
Critical / High severity findings
Rarely, lacks exploit depth
Consistently surfaces critical and high-severity vulns with proof
ChatGPT static audit
ChatGPT performing a static security audit — found only 3 low-severity findings
Vigolium static report
Vigolium static report with 38 findings including criticals

Vigolium vs. Opus 4.7

Claude Code is a strong coding agent. Vigolium is built for serious security audits.

Static audit kickoff
Claude Code v2.1.114 with Opus 4.7 performing a static security audit
Finding review and FP check
Claude Code finding review and false-positive check output

Takeaway

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.

// Live preview

Get a Sample Report

Vigolium Agentic Audit Showcases

Real vulnerability scan reports from popular open-source projects, powered by Vigolium's agentic scanning engine.

2,166+findings · 67+ projects · 79.4M+ lines of code
106+Critical
785+High
1251+Medium