Claude Code
Drop-in policy enforcement at the agent boundary.
Security for AI-coding agents
Secrets stay where they belong.
Real-time secret detection and policy-driven file filtering for the agents your team already uses: Claude Code, Cursor, Gemini, Codex, and the ones that follow.
- Block or filter sensitive files
- Shield prompts to prevent accidental data leaks
- Real-time secret detection prior to LLM ingestion
- No changes to your workflow. Invisible until it matters.
live · runtimeactive
AI agent
coderailsLLM
→scanned · clean
Benchmarks
Detection that ships with your deploy, not after.
<50
ms detection latency · p99
40+
secret patterns · pre-prompt
100%
local enforcement
0
secrets leaked to LLMs
Integrations
Works with the agents your team already uses.
Drop-in protection for the AI tools developers already rely on. No SDK to import, no workflow changes. CodeRails sits between the editor and the model.
Cursor
Drop-in policy enforcement at the agent boundary.
Gemini
Drop-in policy enforcement at the agent boundary.
Codex
Drop-in policy enforcement at the agent boundary.
How it works
Live in under five minutes.
Three steps from sign-up to enforced policy. No SDK, no proxy reroutes, no rebuilds.
Step 01· 01/03
Set up teams and policies
Create teams in the dashboard and define security policies tailored to your workflow: file rules, prompt redactions, audit settings.
Step 02· 02/03
Invite your engineers
Engineers install the desktop agent. It runs alongside Claude Code or Cursor with zero workflow changes.
Step 03· 03/03
Monitor and adapt
Watch security events stream in real time. Tune policies as the team’s patterns emerge. No redeploy required.