Nightfall AI vs Microsoft Purview DLP

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.

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
MP

Microsoft Purview DLP

Microsoft

7.2

Average across eight dimensions

Deployment
SaaS only
Licensing
M365 E5 Compliance tier
Time to value
Medium
Segment
Enterprise
G2

Score by dimension

Dimension NF MP
Data residency control 2 2
Pricing value 6.5 8
Detection accuracy 8 7.5
Response speed 7.5 8
Ease of setup 8.5 8
Management UX 8 8
Integration depth 7.5 9
Security coverage 6.5 7.5

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

Microsoft Purview DLP

  • +Effectively included for organisations already licensed for M365 E5 Compliance
  • +Native coverage of Exchange, SharePoint, OneDrive and Teams with no connectors to build
  • +Policies follow the label, so classification and protection stay attached to the file
  • Coverage outside the Microsoft estate is thin — third-party SaaS and non-Windows endpoints lag
  • No on-premises option; inspection happens in Microsoft's cloud

Best for Microsoft-centric organisations whose sensitive data lives in M365

Watch out If material data sits outside Microsoft, this leaves real gaps

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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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