Cyera Data Security Platform vs Mage Data DSPM: Side-by-Side Comparison (2026)

Mid-market and enterprise security teams drowning in unclassified data across multi-cloud environments should start here; Cyera's agentless discovery combined with AI-native classification actually finds sensitive data that traditional DLP misses, particularly unstructured files buried in shadow storage. The platform handles petabyte-scale scanning without agents, which means you get asset visibility (NIST ID.AM) without the deployment tax that kills most DSPM projects. Skip this if your data footprint is small and static, or if you need mature incident response automation; Cyera excels at the discovery and posture phases, not at orchestrating remediation across disconnected systems. 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.

Based on our analysis of NIST CSF 2.0 coverage, core features, company size fit, deployment model, here is our conclusion: