Cyberhaven Data Protection vs Nightfall Data Loss Prevention: 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.

Nightfall Data Loss Prevention

Mid-market and enterprise teams drowning in SaaS sprawl need Nightfall Data Loss Prevention because it actually catches data leaks in ChatGPT, Slack, and Google Workspace instead of pretending they don't exist. The platform covers ID.AM and PR.DS across cloud apps and endpoints with real-time blocking, plus its Nyx agent automates incident investigation so your team isn't manually triaging alerts at midnight. Skip this if you're primarily concerned with on-premises data centers or need deep DLP integration into legacy enterprise applications; Nightfall's strength is modern, cloud-first environments where traditional perimeter controls don't apply.