Give Everyone AI. Keep Your Data.
A secure AI chat your security team can actually approve.
Your employees already use AI chat every day. The only question is whether they do it on a personal ChatGPT tab where you have no visibility — or in a chat you control. "Is ChatGPT safe for work?" is the wrong question. The right one is: can you give people the same experience, without the data risk?
You can. A secure AI chat looks and feels like the tools people already love, but every message passes through your guardrails first.
The Problem with Consumer AI Chat at Work
Your Data Walks Out
Paste a contract, a customer list, or a code file into a personal AI account and it has left your control. You can't see it, log it, or pull it back.
Training on Your Secrets
Many consumer tools use what people type to improve their models. Your confidential data becomes someone else's training set.
No Audit, No Answers
When compliance asks what was shared with AI last quarter, "we don't know" isn't an answer. Consumer chat leaves no trail you can see.
Blocking Just Hides It
Block the AI sites and usage moves to phones and home laptops. The work still happens — you just stop seeing it.
What Makes a Chat Actually Secure
- Inspection on every message. Each prompt is checked before it reaches a model. Sensitive data is caught in real time, not after the fact.
- Automatic redaction. PII, credentials, source code, and financial data are stripped or masked before they leave your environment.
- No training on your data. Conversations are routed so your inputs are never used to train the underlying models.
- Every model, one safe surface. ChatGPT, Claude, Gemini, and more — the same secure chat, governed the same way. See the multi-LLM gateway.
- Full audit trail. Every prompt, response, and policy decision is logged and searchable, so you can answer any compliance question.
Say Yes to AI, Safely
The companies pulling ahead with AI aren't the ones that banned it. They're the ones that gave employees a safe place to use it. A secure AI chat is how you turn risky, invisible usage into productive, governed adoption.