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.Documentation Index
Fetch the complete documentation index at: https://docs.codeant.ai/llms.txt
Use this file to discover all available pages before exploring further.
These docs cover the defensive layer, Control Center, and Cloud Security. For the offensive layer and the full platform, see codeant.ai.
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.
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.