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← Data Loss PreventionNightfall AI
StrongStrongAdequateAdequate
4.6

Vendors › Data Loss Prevention › Nightfall AI

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Nightfall AI

Nightfall AI

Founded 2018·US·VC-backed
4.6

Combined score

G2
4.754
Gartner
4.538

▪ Editorial verdict

Nightfall AI addresses a genuine and growing gap in traditional DLP coverage: legacy vendors were built for email and network traffic before organisations conducted core business through Slack, GitHub, and generative AI applications, where sensitive data now regularly flows without touching the channels traditional DLP monitors. Nightfall's API-based approach covers exactly these modern channels directly, and machine learning-based detection reduces the false positive burden that regex-based matching generates.

The honest limitation is depth in areas where legacy vendors have decades of focused development: forensic investigation and compliance documentation trail Forcepoint or Symantec.

The verdict: right for modern, cloud-first organisations wanting current DLP coverage for SaaS collaboration and generative AI applications. Large enterprises needing the deepest forensics should evaluate Forcepoint or Microsoft Purview DLP instead.

Last reviewed: September 2026

G2

4.754 reviews

Gartner

4.538 reviews
Gartner MQ: Not in MQ

Data Loss Prevention assessment

PROTECTIONStrong
Channel coverage
4 / 5
Content inspection
4 / 5
OPERATIONSStrong
Policy management
4 / 5
Deployment ease
5 / 5
ANALYTICSAdequate
Incident forensics
3 / 5
TRUST & ECOSYSTEMAdequate
Compliance alignment
3 / 5

Strongest: Deployment ease

Watch out for: Compliance alignment

Strengths & limitations

Strengths

●Genuinely modern channel coverage for Slack, GitHub, generative AI applications, and SaaS collaboration tools that legacy DLP covers less directly
●The fastest DLP deployment in this comparison, with API-based setup across SaaS applications completed in hours
●AI-based detection using machine learning classifiers, meaningfully reducing false positives on common sensitive data types

Watch out for

●Incident reporting and forensic investigation depth is less comprehensive than established enterprise DLP platforms
●Compliance framework mapping is less extensive than Forcepoint or Symantec's decades of documentation
●Shorter track record than legacy DLP vendors, with correspondingly less enterprise-scale deployment history

Best for

Modern, cloud-first organisations wanting fast, current DLP coverage for SaaS collaboration tools and generative AI applications.

Not suitable for: Large enterprises needing the deepest forensic investigation and comprehensive regulatory compliance documentation.

Compliance coverage

●SOC 2
●PCI-DSS
●GDPR
○Essential Eight
○AU Privacy Act
○HIPAA
○NIST CSF
○CMMC
○NIS2
○DORA
○ISO 27001
○CIS Benchmarks

Switching intelligence

Switching from

Common migration paths based on review data

Also considering

Vendors typically shortlisted alongside

← Back to Data Loss PreventionCompare with other Data Loss Prevention vendors ➲

Quick facts

Pricing modelPer user, annual
Pricing rangeQuote-based, mid-market
Free trialYes - 14 days
Min seatsNo minimum
Deployment time< 1 day
Complexity1 / 5
Pricing transparency2 / 5
AU presenceNo
IRAP assessedNo
Open sourceProprietary

Deployment

ModelsSaaS
OS support
CloudAWS
SupportEmail, Chat
Data residencyUS

Company

Nightfall AI

Founded 2018 · 50-200 employees · VC-backed

HQ: US

Not publicly disclosed

Certifications

SOC 2 Type II

Integrations

SlackGitHubGoogle WorkspaceMicrosoft 365OpenAI