Skip to content
Back to AI Security

AI Coding Security Review

Review AI coding tools before they can change production.

A focused review for teams using Cursor, Copilot, Claude Code, or other AI coding workflows with repository, CI/CD, secrets, or deployment access.

Why commission the review

AI coding tools may inherit access to source code, pull requests, build jobs, secrets and developer machines. Review which actions they can take and which still require human approval before expanding that access.

Best fit: Engineering, security, platform, and product leaders using AI coding tools in repositories or delivery pipelines.

Scope

Repository and branch permissions, issue and pull-request trust, workflow triggers, secrets and tokens, generated code and commands, package and dependency paths, deployment influence, approvals, logging, and recovery.

What you receive

A review of coding access and release controls.

A map of the coding and release workflow, a permission matrix, test scenarios and prioritized fixes, with a memo for engineering leadership.

Timeline

Typically 10 business days from kickoff and access confirmation.

AI-assisted release path

Follow generated code through the release process.

We trace how generated changes reach a worktree, pull request, build job and deployment. At each step, we check credentials, allowed actions and review requirements.

Review path / AI-assisted development
01

Prompt

Instructions, context, extensions, terminals, and connected tools.

02

Worktree

Local files, credentials, packages, commands, and developer-machine access.

03

Pull request

Reviewers, branch protections, generated diffs, comments, and merge authority.

04

CI/CD

Workflow triggers, build jobs, test output, secrets, and environment access.

05

Deploy

Release approvals, production credentials, rollback, and post-change visibility.

Check merge, build and deployment permissions before expanding access.

Assessment detail

The proposal identifies the systems and tests included. The report records findings, unavailable access and any checks that could not be completed.

Repository and Branch Authority Map

Map of AI coding tools, identities, repository permissions, branch protections, pull-request actions, and merge authority.

CI/CD Trust-Boundary Review

Review of workflow triggers, generated changes, build jobs, deployment credentials, environments, and release approvals.

Secrets and Token Exposure Review

Assessment of how prompts, context windows, logs, extensions, terminals, and agents can reach sensitive credentials.

AI-Generated Change Abuse Cases

Scenarios covering malicious instructions, dependency changes, unsafe commands, hidden workflow edits, and review bypasses.

Remediation Backlog

A prioritized list of permission, sandbox, review, secret-handling and logging changes, with checks for recovery.

What the review covers

Connect local access to release permissions.

  • Reviews the permissions and release controls around AI coding tools
  • Connects developer-machine authority to repository, CI/CD, and deployment impact
  • Defines rollout conditions and checks for each recommended change

When to use it

Before coding tools get release authority.

Use this before allowing AI-assisted workflows to write code, open or approve pull requests, trigger CI/CD, or influence release decisions.

Next step

Tell us what you need reviewed.

Request an AI coding security review