Cyberhaven vs Nightfall AI

A side-by-side comparison on deployment model, data residency, licensing basis and security coverage. Structural facts are verifiable against vendor documentation; the scored dimensions are our assessment.

CH

Cyberhaven

Cyberhaven

7.1

Average across eight dimensions

Deployment
SaaS only
Licensing
Per user
Time to value
Medium
Segment
Mid-market / enterprise
G2
NF

Nightfall AI

Nightfall AI

6.8

Average across eight dimensions

Deployment
SaaS only
Licensing
Per user or API volume
Time to value
Fast
Segment
SMB / mid-market
G2

Score by dimension

Dimension CH NF
Data residency control 3 2
Pricing value 6 6.5
Detection accuracy 8.5 8
Response speed 8 7.5
Ease of setup 7.5 8.5
Management UX 8.5 8
Integration depth 7.5 7.5
Security coverage 8 6.5

Cyberhaven

  • +Traces data lineage rather than only matching content, so it catches transformed and renamed files
  • +Materially fewer false positives than pattern-matching approaches
  • +Investigation workflow shows the full path a file travelled
  • Cloud-delivered with no self-hosted deployment
  • Younger vendor with a smaller install base and less independent analyst coverage

Best for Organisations where intellectual property leaves via transformation rather than obvious copying

Watch out Assess vendor maturity and support depth alongside the technology

Nightfall AI

  • +Machine learning classification performs well on unstructured content
  • +API-first design makes it straightforward to embed in custom applications
  • +Fast to connect to common SaaS tools without agents
  • SaaS only — content is sent to Nightfall for inspection
  • Endpoint and network channel coverage is minimal; this is SaaS-focused

Best for Engineering-led teams protecting data inside SaaS and custom applications

Watch out Not a replacement for endpoint or network DLP — scope it accordingly

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Other comparisons

Data last verified 2026-09-16. nPro publishes this comparison. Where nPro appears as one of the platforms listed, its card is marked and its scores are our own assessment. Third-party review scores are sourced from public vendor profiles. Structural facts — deployment model, licensing basis, residency — are verifiable against each vendor's documentation.

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