Enterprise-grade AI Data Loss Prevention (DLP) for LLM agents using Just-In-Time encryption and format-preserving tokenization.
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Maker
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I previously built Maverick, an AI agent that could see desktop activity, interpret intent, and execute the next task for you. In doing so, I realized the need to offer a runtime solution to protect user data in agent flows. Mask intercepts sensitive data, turns it into a string of semantically similar tokens before it touches an LLM, the LLM still reasons and calls tools, and maks detokenizes at the edge of tool execution. The LLM never sees user data and tool calls remain functional.
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