Fortra DSPM vs Strac Sensitive Data Discovery: Side-by-Side Comparison (2026)

Mid-market and enterprise teams drowning in unclassified data will find value in Fortra DSPM's discovery speed; it cuts through shadow data faster than most competitors because the classification engine doesn't require manual tagging to get started. The tool maps to ID.AM and PR.DS effectively, meaning you get asset inventory and data protection controls working together from day one. Skip this if your organization needs deep API security or application-layer data loss prevention; Fortra DSPM excels at finding and protecting data at rest, not in transit across microservices. Mid-market and enterprise teams drowning in unstructured data across SaaS and cloud will get immediate value from Strac Sensitive Data Discovery because it actually finds what you've lost visibility of, not just what sits in databases. The agentless discovery across Office 365 and AWS, combined with OCR-based detection for images and video, means you'll catch sensitive data your data governance tools have been missing for years. Skip this if your organization has already completed a full data inventory and your problem is purely enforcement; Strac prioritizes discovery and classification over access control and audit trails, which shows in its thinner coverage of NIST monitoring controls.

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