USE CASE
Data Leak Prevention
Stop sensitive data from leaving your AI workflows before it ever crosses the line.
Your teams are putting data into AI faster than anyone can review it. A customer service agent pastes a patient record into a chatbot to draft a follow-up. A sales rep drops a customer list into a public model to write outreach. A finance workflow pulls payment data into an automated email. Each one is real productivity. Each one is also a regulated record moving through a system that was never approved to see it.
The risk is not that the AI is malicious. The risk is that the AI is fast. By the time anyone reviews the action, the data has already left. The record is in the model’s training data. The email has already sent. The compliance violation has already happened.
This is the structural gap. Identity controls who can access the data. Nothing controls where the AI takes it next. Access decided who. Nothing decided what.
Mountain Theory sits between the AI’s decision and the action it is about to take. We evaluate every input going into the AI and every output coming out in under 200ms. Safe data flows through. Regulated data stops at the line. Every decision is logged.
Built for environments where one leaked record is an immediate violation. FERPA in schools and universities. HIPAA in hospitals and clinics. PCI in payment systems. GDPR across the EU. SOX in financial reporting. The compliance frameworks already exist. The control inside the AI does not. We are that control.
You want your teams using AI. You also do not want to be the next disclosure letter. Mountain Theory lets you do both.
- ✓Real-time interception of personal, health, payment, and other regulated data
- ✓Checks on both what goes into the AI and what comes out before it leaves your environment
- ✓Policy written in plain English, not code
- ✓Three outcomes at every gate: allow, hold for human review, or block
- ✓Coverage for FERPA, HIPAA, PCI, GDPR, SOX, and any framework you need to add
- ✓Full audit trail of every decision, ready for any regulator or incident response
- ✓Decisions made in under 200ms so the business keeps moving
Bottom line: regulated data stays where it belongs, every decision is logged, every policy is written in plain English, every audit is defensible without a translator.
See how this plays out in a real incident: read the related case studies in our Threat Lab.