AI agents are becoming more capable every month. They can draft emails, schedule meetings, manage files, and interact with dozens of services on your behalf. But with that power comes a real question: how much access should an AI agent have?
The Problem
Most AI agent frameworks let you connect services like Gmail, Google Calendar, Slack, and Drive directly. The agent gets a token, and it can do whatever that token allows. There is no rate limiting, no approval step, and no way to shut it down quickly if something goes wrong.
Think about it this way: you would not give a new employee full admin access to every system on their first day. So why would you give that to an AI agent?
What a Security Layer Looks Like
A proper security gateway sits between your AI agent and the services it accesses. It handles:
- Token encryption so credentials are never stored in plain text
- Rules and rate limits to control how many actions an agent can take
- Approval workflows for sensitive operations like sending emails or deleting files
- Audit logs that record every action the agent takes
- A kill switch to revoke all access instantly if something goes wrong
Our Approach
We built CloudGentic Gateway to solve this problem. It is open source, self-hostable, and works with any MCP-compatible AI agent framework.
The gateway supports 15+ service providers including Google (Gmail, Calendar, Drive), Slack, GitHub, and more. Every token is encrypted with AES-256, and every action is logged in an append-only audit trail.
You can deploy it with Docker in under 5 minutes and have full control over what your agents can and cannot do.
Getting Started
If you are building with AI agents and want to add a security layer, check out the CloudGentic Gateway on GitHub. It is MIT licensed and free to use.
For a managed version with zero setup, visit gateway.cloudgenticai.com.