Traditional Data Loss Prevention (DLP) and insider threat tools often fail because they rely heavily on content inspection, generating large numbers of false positives while missing genuinely risky activity. These legacy solutions were designed for simpler environments and lack visibility into how data moves across applications, cloud platforms, and AI tools. They can identify a file at a single point in time but cannot track its origin, understand who accessed it first, or monitor how it is copied, modified, and shared across systems. As a result, security teams face blind spots while employees experience unnecessary restrictions that can hinder productivity. The rapid adoption of cloud services and AI agents has further exposed these limitations, as sensitive data now travels through com

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