Cencurity

Cencurity is a security gateway designed to protect AI coding workflows that use large language model (LLM) agents. It acts as a protective layer between developers and their AI tools, preventing sensitive information from leaking in prompts and blocking unauthorized access to AI models. The core function is to inspect all traffic to and from LLM agents, identify risks like exposed secrets or personal data, and either redact that information or block the request entirely before any damage is done.

It works by integrating with existing AI providers and development environments, requiring no major code rewrites. Once connected, it provides a centralized dashboard where teams can see every agent call, monitor policy violations, and analyze logs in real time. What sets it apart are features like dry-run mode, which lets you test security policies without enforcement, and webhook notifications that send verified alerts to tools like Slack or Jira. The system is built to add security without slowing down developer productivity.

This tool is most beneficial for development and security teams who are deploying AI assistants internally and need to govern their use. Real-world use cases include a company using GitHub Copilot or similar agents wanting to ensure no proprietary code or API keys are accidentally shared in prompts. It also helps organizations meet compliance requirements by providing clear, audit-ready logs of all AI interactions, making it easier to demonstrate due diligence in data protection.