Catch critical vulnerabilities that traditional scanners and AI code review tools miss, with validated proof your team can act on.
$ curl -fsSL https://www.vigolium.com/install.sh | bashAn AI security agent that works the way a senior pentester works, at machine speed, and never gets tired.
Deeply analyzes every route and business-logic chain across your full codebase and live application, not just the diff.
Plans its approach based on what it found, not a fixed checklist. Prioritizes logic flaws, auth gaps, and high-risk surfaces.
Generates exploit scripts on the fly for logic flaws no generic scanner could catch. Every payload is tailored to your app.
Sends real requests to your live app and watches how it responds. Exploitation with evidence, not suggestions on a PR.
Reviews every finding and throws away false positives before you ever see them. Near-zero noise in your results.
Each real issue comes with plain English explanation, a reproducible HTTP request, and a suggested fix.
Real vulnerability scan reports from popular open-source projects, produced by Vigolium's agentic scanning engine.
AI reviewers scan your diff. Scanners fire blind payloads. Vigolium audits your entire codebase and live application with validated proof.
Run Native scan on every push for speed and breadth. Agentic scan before every release for depth and logic-flaw hunting.
Every push · seconds
A deterministic pipeline of 215+ modules, fast enough to gate every build.
Before release · depth
A planner splits the surface across agents that write, fire and prove their own tests.
From classic injection to broken authorization and protocol-level quirks. Open a category to see the specific checks.
Vigolium finds and proves bugs. Gimorra is the truly autonomous pentest agent: it runs the whole engagement on its own. Request a demo to get access to the proprietary version.
A URL, host, domain, IP range, repository, or shipped app bundle (APK, IPA, Electron, JS).
Recon, scan, propose PoCs, prove, report. One command, no human in the loop.
Every candidate is re-proved by the engine before it counts as confirmed.
One engagement folder per run: evidence, transcripts, and a rendered report.
Plugs into the pipeline, proxy and AI tooling your team already runs.
GitHub Actions, GitLab CI, Jenkins
Import/export Burp XML traffic
REST API with Swagger UI and traffic ingestion
Auto-ingest API specifications
Claude, Codex, OpenCode or native LLM call