Public sector organizations are awash in data— far more of it, moving far faster, across far more systems than legacy security tools were ever designed to handle. Every email, file transfer and download expands the attack surface. Yet many security programs are still built on a 20-year-old assumption that sensitive data is easily defined, lives in predictable places and can be locked down with static rules.

Driven by distributed work, data mobility and evolving privacy expectations, organizations understand that safeguarding information requires far more than pattern matching. It demands understanding context and behavior — why a user is accessing data, how they’re interacting with it and whether that activity is normal.

Modern risks fall into three categories: accidental sharing, third-party exposure and insider threats. Traditional DLP tools built around content inspection alone struggle across all three. They miss obscured data, can’t recognize intent and often overwhelm teams with noisy alerts.

Proofpoint’s approach is fundamentally different. It brings content, context and behavior into a single, unified, cloud-native platform so teams can identify true risk with far greater accuracy and stop data loss wherever it occurs.