Prevent employee data slips with contextual DLP nudges and automated rollback

Executive Summary

Employees cause most data incidents via mis-sends and bad shares. Build contextual, real-time nudges and automatic remediation across email and cloud apps to stop accidental data leaks before they become regulatory incidents. Cloud collaboration and remote work have multiplied everyday sharing events and failure modes, increasing the frequency of accidental leaks; regulators like GDPR, HIPAA, and CCPA make single incidents materially costly. APIs and unified audit logs from Office365 and Google Workspace now provide the telemetry needed for near-real-time behavioral models. The Bluesky example that a single mis-forward can create a regulatory nightmare highlights that preventing these rare but high-impact events is now a solvable and commercially valuable problem. Use per-organization behavioral telemetry from email and cloud app APIs to power contextual ML models that surface high-risk actions in real time, then offer one-click automated rollback or secure sharing fixes. The source example - a single mis-forwarded spreadsheet causing regulatory nightmare - shows the value of stopping a human mistake at the moment of action. This creates a data moat: models trained on an orgs own sharing patterns and incident outcomes become more accurate for that org over time, and integrations with Exchange/Office365, Google Workspace, and major CASBs enable speed-to-market.