How to Secure Cursor, Claude Code, and Windsurf in Your Enterprise
A practical guide to adding policy enforcement, authorization, and audit logging to your AI coding tools without blocking your team.
The Adoption Wave
Your engineers are already using AI coding agents. The question isn't whether to allow them — it's how to secure them.
Step 1: Deploy a Gateway
Install a VPC-resident security gateway that sits between your AI tools and internal systems. This gives you a single chokepoint for policy enforcement, logging, and rate limiting.
Step 2: Define Policies
Start with simple rules:
- •Block destructive commands (
rm -rf,DROP TABLE, etc.) - •Block access to production databases from non-production environments
- •Allow everything else by default, then tighten as you learn
Step 3: Enable Secret Scrubbing
API keys, database credentials, and tokens should never appear in agent outputs. Configure regex patterns to strip them in transit.
Step 4: Verify Logging
Confirm that every agent action produces a structured log entry with user identity, tool, command, and policy decision.
Step 5: Iterate
Review logs weekly for the first month. You'll quickly learn what your team actually does with AI agents and can refine policies accordingly.
The Result
Your team keeps using the tools they love. Security gets the visibility and control they need. Compliance gets the audit trail they require. Everyone wins.