Customer records, source code, financials, and secrets leave the business through AI every day. Purogaly inspects every interaction and stops the leak in-flight — across prompts, uploads, backend calls, and agent actions.
Traditional DLP wasn't built for AI. The sensitive data flowing into AI tools takes paths most controls never see.
Employees paste customer data, code, and credentials into AI tools to get work done faster.
Whole documents and datasets are uploaded to AI tools, far beyond what a prompt reveals.
Servers and integrations send sensitive payloads to AI models with no employee in the loop.
Autonomous agents read and move sensitive data across tools as part of their tasks.
Purogaly sits in the AI path and evaluates content before anything sensitive can leave.
Pattern detection catches PII, cards, and secrets. Semantic detection catches financial, health, legal, and M&A meaning that rules miss.
Inspection & DLP →A clear decision is returned based on policy, risk score, app status, user context, and data sensitivity — allow, flag, mask, block, or escalate.
Policy & risk →Sensitive content is masked or blocked in-flight, and the decision is written to tamper-evident evidence an auditor can verify.
Evidence & audit →The same inspection and policy apply whether data leaves via a browser, a server, or an agent.
Prompts and pastes into ChatGPT, Claude, Gemini, Copilot.
Documents and datasets sent to AI tools.
Server and integration calls to AI models.
Data moved by autonomous agents.
Security teams get control and proof; employees keep their AI tools.
See how Purogaly inspects every AI interaction and keeps sensitive data in.