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CodeAnt AI is an agentic security platform that combines defensive and offensive security — from your codebase to your attack surface. Every line reviewed. Every endpoint tested. Every risk ranked. Defensive. Catch issues in the IDE and CLI before a line is committed. Review every pull request with full codebase context. Scan code, infrastructure, and dependencies in one unified AI SAST pass. Offensive. Map your public exposure. Run chained attacks with 500+ exploit agents. Re-attack with grey-box knowledge learned from your codebase.
These docs cover the defensive layer, Control Center, and Cloud Security. For the offensive layer and the full platform, see codeant.ai.

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Where CodeAnt runs

Control Center

A dashboard to visualize security and code health across every repo, prioritize the highest-impact risks, and ship fixes in bulk.

Pull Request Review

AI line-by-line code review on every PR — security and quality findings with full codebase context, auto-suggested fixes, and PR summaries.

IDE

Catch security and quality issues before a line is committed — in VS Code, Cursor, JetBrains, Visual Studio, and Windsurf.

CLI

Run CodeAnt locally or in CI, wire it into git hooks, and invoke it from Claude Code or Cursor.

Scan Center

AI SAST across code, infrastructure, dependencies, and secrets — in one unified scan.

Cloud Security

Detect and fix misconfigurations across AWS, GCP, and Azure.

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Get started

Quickstart

Install the app, sign in, and run your first review in minutes.

Connect your SCM

Step-by-step setup for GitHub, GitLab, Bitbucket, and Azure DevOps.