Cyberhaven Data Protection vs Strac PII Scanner: Side-by-Side Comparison (2026)

Mid-market and enterprise security teams drowning in shadow SaaS and generative AI sprawl will get immediate value from Cyberhaven Data Protection because it maps data movement across endpoints, cloud, and AI tools without requiring you to inventory everything first. The autonomous risk detection using Large Lineage Models reduces the manual classification burden that kills most DLP deployments, and the built-in investigation agent actually closes cases instead of just surfacing alerts. Skip this if your organization lacks the API connectivity across your SaaS stack or if you need network-based DLP that doesn't touch endpoints; Cyberhaven is endpoint and cloud-centric, leaving blind spots on the wire. SMB and mid-market teams drowning in unstructured data across SaaS and cloud will see immediate ROI from Strac PII Scanner; its OCR and ML detection catches sensitive data in PDFs and images that regex-only tools consistently miss. The tool scans 100+ file types across Office 365, Google Workspace, and S3 simultaneously, then automates remediation via masking or deletion rather than just alerting. Skip this if your priority is behavioral monitoring of data exfiltration; Strac excels at finding and fixing what's already exposed, not preventing the act of stealing it.

Based on our analysis of core features, integrations, company size fit, deployment model, here is our conclusion: