Cyberhaven Data Protection vs Forcepoint Data Security: Side-by-Side Comparison (2026)

Cyberhaven Data Protection

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.

Forcepoint Data Security

Mid-market and enterprise teams drowning in unstructured data across clouds and on-prem will see immediate ROI from Forcepoint Data Security because its AI classification actually finds what you didn't know you had, then enforces policy across email, endpoint, and web in one control plane instead of bolted-together point tools. The platform covers ID.AM through DE.AE in NIST CSF 2.0, meaning you get asset discovery, risk assessment, and continuous monitoring without switching vendors. Skip this if your organization runs a mostly on-premises infrastructure with minimal cloud adoption; the value prop tilts heavily toward hybrid and cloud-first operations where data spreads faster than traditional DLP can catch it.