KomAInu Beats GitHub Copilot in a Compliance Review Benchmark
A head-to-head requirements-anchored review: KomAInu found every planted vulnerability (10 / 10) while Copilot scored 4 to 7 / 10.
Summarize this article with:
TL;DR
We set up a head-to-head comparison against GitHub Copilot on the same deliberately difficult pull request. Copilot was given the same documents and the same review instructions as KomAInu, so neither side had an unfair context advantage.
| Reviewer | Result | What happened |
|---|---|---|
| KomAInu | 10 / 10 | Found every planted vulnerability and grounded each finding in the requirements it violated. |
| GitHub Copilot | 4 to 7 / 10 | Solid general-purpose review, but missed compliance-relevant issues that only make sense when the reviewer understands your standards. |
The Test: 10 Hidden Vulnerabilities
We set up a head-to-head comparison against GitHub Copilot on the same deliberately difficult pull request. Copilot was given the same documents and the same review instructions as KomAInu, so neither side had an unfair context advantage.
| Reviewer | Result | What happened |
|---|---|---|
| KomAInu | 10 / 10 | Found every planted vulnerability and grounded each finding in the requirements it violated. |
| GitHub Copilot | 4 to 7 / 10 | Solid general-purpose review, but missed compliance-relevant issues that only make sense when the reviewer understands your standards. |
The gap is not just raw model quality. It is grounding: a reviewer that reads your requirements and reasons against them will catch things a generic assistant cannot see. Just as importantly, it explains why each issue matters, which rule it breaks, and how the decision enters the audit trail.
Demo Results: 10 Hidden Vulnerabilities in a 1,500-Line PR
In the demo benchmark, KomAInu reviewed a pull request with 23 commits, roughly 1,500 changed lines, and 10 hidden compliance-related vulnerabilities. The review completed in about two minutes and grouped findings by root issue instead of generating one noisy comment per violated requirement.
- Repository: healthcare demo application.
- Standards used: ISO 27001 and FHIR.
- Pull request size: 23 commits and about 1,500 changed lines.
- Hidden issues: 10 compliance-related vulnerabilities.
- Review time: about 2 minutes.
- Output: grouped findings, requirement references, source passages, impact score, GitHub fix suggestions, and audit history.
Watch the Full Demo
See the entire flow: setup, review, the Copilot comparison, and Compliance History syncing to a Google Sheet.
Limitations
- Single PR, single demo repo: all reported numbers come from one deliberately difficult pull request used to demonstrate the reviewer.
- Own engineering benchmark: this is a structured engineering test of our method and the compared reviewer behavior, not an independent evaluation from a third party.
- Run-to-run variance: Copilot's reported score range (4 to 7 / 10) reflects variation across runs on this same setup.
Where This Fits in the KomAInu Platform
The Compliance Reviewer is the shift-left front door to the same traceability engine that powers the rest of KomAInu.
AI Compliance Reviewer →AI Requirements Traceability Matrix →Test Coverage Gap Analysis →IVVQ and Software Verification →AI Test Case Generation →QA Testing Software →Compliance in the PR, coverage across the SRS, traceability end to end.