Copilot · Cursor · Claude Code
A tool-led AI code audit for engineering leaders who rolled out GitHub Copilot or Cursor — and now face security questionnaires, SOC 2, diligence, or production risk from unreviewed AI output.
Rolling out GitHub Copilot, Cursor, or Claude Code is the easy part. The hard part is proving that AI-assisted merges are safe for enterprise buyers, auditors, and production. Maxiom runs a fixed-scope senior audit of repositories where those tools are in active use: security, architecture, compliance, dependencies, and test quality — delivered as a written findings package, typically within 5–10 business days. This landing is for teams searching specifically for Copilot or Cursor risk review; the engagement itself is our AI Code Audit. Before you open a repo, the AI Code Risk Scorecard is the same control list as a scored snapshot — no source upload.
The problem
Adoption metrics look great. Merge velocity is up. Senior review capacity did not scale with suggestion volume, and nobody owns the AI risk narrative for buyers.
Enterprise security reviews and SOC 2 evidence requests ask how Copilot or Cursor output is controlled. Vague policy language is not enough without findings.
Static tools catch some issues. They miss architectural shortcuts, licensing exposure, authorization edges, and compliance intent that AI assistants routinely invent.
What we inspect
Every engagement is scoped to your Copilot / Cursor / Claude Code usage patterns and conducted by engineers with 10-plus years of production experience.
OWASP-class issues, hardcoded credentials, unsafe defaults, and prompt-injection exposure in LLM-integrated features
Coupling, schema assumptions, and design drift introduced by AI-generated scaffolding
SOC 2, HIPAA/FHIR, or FedRAMP/NIST mapping when your questionnaire or market requires it
Hallucinated or unvetted packages, copyleft contamination, and supply-chain risk
Coverage quality where AI-assisted changes touch auth, payments, PHI, or tenancy
Whether the next engineer can safely inherit what Copilot and Cursor accelerated
Free resource
A practical review list for teams shipping with Copilot, Cursor, and other AI coding tools — covering security, architecture, compliance, and code quality.
Leadership mandated GitHub Copilot. Six months later, security asks what was reviewed. You need a documented audit before the next board or buyer conversation.
Engineers live in Cursor. PR volume is high. You need a senior pass on AI-heavy paths before launch, fundraise, or an enterprise security review.
Controls mention AI tools in policy, but there is no severity-ranked findings trail. An audit creates the evidence packet.
Kickoff
We map which tools are approved, where they are used, repository boundaries, and the regulatory pressure behind the ask.
You get: agreed tool-and-repo scope
Least-privilege repository access. Proprietary source is not processed through external AI.
You get: a bounded intake
Security, architecture, compliance, dependencies, and tests across the agreed Copilot and Cursor scope.
You get: findings, not a scanner dump
Written report, live walkthrough, and prioritized remediation — then optional oversight if you keep shipping fast.
You get: a snapshot you can show a buyer
It is a point-in-time senior review of code produced or heavily assisted by GitHub Copilot, Cursor, Claude Code, or similar AI coding tools. Engineers inspect a defined scope and deliver severity-ranked findings — not a scanner report marketed as oversight.
Same core engagement and deliverable. This page is the tool-led entry for teams searching Copilot or Cursor risk specifically. The AI Code Audit page is the broader category landing. Both convert into the same senior audit process.
We scope to the repositories and paths where AI assistants are used most. That often includes mixed human and AI-authored code — because the risk lives in what merged, not in a perfect AI/human label.
Yes. Teams use the findings report to answer how AI-generated code is reviewed, what risks were found, and what remediation is prioritized — especially for SaaS SOC 2 and customer security reviews.
After NDA and read-only access, initial findings are typically shared within five business days, with full report and debrief commonly inside 5–10 business days depending on size and regulatory scope.
No. Client code stays in client environments. Senior engineers inspect directly. We do not run proprietary source through external AI tools as part of the engagement.
Start with the audit for a baseline, then move to AI Code Oversight for recurring senior review as the team keeps shipping with Copilot or Cursor.
No. Copilot/Cursor audits fit established engineering teams using assistants inside a normal process. Vibe coding governance is for products built primarily through prompting with limited formal engineering practice.
Yes, when scoped. We can map findings to HIPAA/FHIR, SOC 2, or FedRAMP/NIST expectations, and connect remediation to Compliance Engineering when controls need to be built into the system.
Related services & resources
Scoping
Response within 1 business day
