AI Tools & Data Risk

To achieve Claude Code security, it's important to control what the agent can do in your environment: which files it reads, which commands it runs, and what data it sends to the model. Here's how.

Shadow AI detection means finding the unapproved AI tools in use and the data going to them. Here are the layers, the signals, and what blocklists miss.

Shadow AI is the unapproved use of AI tools at work, and it's where sensitive data slips out of view. Here's what it is, the risks, and how to manage it.

DLP for AI agents watches the data an agent reads, carries, and sends, and stops sensitive content from leaving before it reaches an external model or service.

DLP for Microsoft 365 Copilot stops oversharing before Copilot surfaces sensitive data to the wrong person, with real-time, intent-based prevention.

DLP for Gemini stops confidential data from leaving in a prompt or drive file reference, covering work and personal Gemini accounts with real-time prevention.

DLP for ChatGPT stops sensitive data from leaving in a prompt before it reaches OpenAI, and lets teams keep using ChatGPT safely across the enterprise.

Why policy-based DLP fails in the age of Shadow AI. Discover modern, AI-driven data protection strategies built for generative AI workflows.