AI Data Privacy, Simplified

Agents need real data to deliver value, and that data is full of sensitive PII hidden across prompts, PDFs, transcripts, images, and agent memory. Every new agent widens the risk surface, and protecting each system separately does not scale. The simplest place to protect data is before it enters the model.

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This whitepaper explores how a single Runtime AI Data Control layer sanitizes sensitive data across datastores, models, and agents with one policy. It covers how sensitive values in text, documents, audio, and images are replaced with context-preserving tokens, so every new agent runs on protected data from day one.

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