Forcepoint AI-Native DSPM vs Mage Data DSPM: Side-by-Side Comparison (2026)

Forcepoint AI-Native DSPM

Mid-market and enterprise security teams drowning in unclassified data across cloud and on-premises will find real value in Forcepoint AI-Native DSPM because its AI Mesh technology actually catches shadow data and over-permissioned access that rule-based classifiers miss. The platform covers ID.AM and ID.RA thoroughly, mapping both what data exists and who can reach it, which is where most DSPM implementations fail. Skip this if your data footprint is predominantly SaaS-native or if you need remediation automation to do the heavy lifting; Forcepoint excels at visibility and risk surfacing, not at the orchestration layer.

Mage Data DSPM

Mid-market and enterprise teams managing data across on-premises, cloud, and SaaS environments will see immediate value from Mage Data DSPM because it enforces consistent classification and protection policies without requiring separate tools per deployment type. The platform's asset-class-aware approach and end-to-end data lineage tracking directly addresses NIST ID.AM and PR.DS requirements, cutting through the fragmentation that typically forces security teams to stitch together point solutions. Skip this if your data footprint is purely cloud-native and you're already comfortable with native cloud DLP; Mage Data's hybrid strength becomes less critical in single-environment shops.