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Introducing Span-02

Nightfall AI vs Oximy (2026)

Updated March 27, 2026

vs

Overview

Rating
10.0 / 10
Rating
10.0 / 10
Best For
—
Best For
Enterprise security teams governing AI tool usage
Product Summary

Nightfall AI provides data loss prevention (DLP) for AI applications.

Product Summary

Discovers all AI tools in use across an enterprise, monitors data flows in real time, and lets security teams block sensitive data from unauthorized AI.

Starting Price
$0Per month
Starting Price
Free
Free Trial
Yes
Free Trial
Yes
Free Version
Yes
Free Version
Yes
Website

Key features

Core capabilities each platform advertises.

Nightfall AINightfall AI
Data not available
OximyOximy
  • Shadow AI discovery
  • Data flow monitoring
  • Sensitive data blocking
  • Enterprise AI governance
  • Security policy enforcement

Strengths and tradeoffs

What each tool does well, and the limitations to keep in mind.

Nightfall AINightfall AI

Pros

  • Production-ready platform
  • Good performance
  • Active development
  • Strong features

Cons

  • Enterprise pricing varies
  • Setup complexity
  • Learning curve required
OximyOximy

Pros

  • Addresses a genuine enterprise pain point — shadow AI and uncontrolled AI tool sprawl is accelerating
  • Network-layer monitoring via firewall/proxy integration means no per-vendor setup needed
  • SOC 2 Type I certified with GDPR compliance and enterprise-grade security
  • Broad coverage tracking 3,500+ AI tools with real-time monitoring
  • Three-pronged value combining discovery, spend intelligence, and data protection in one platform

Cons

  • Solo founder for an enterprise security product — execution risk for scaling
  • Still in design-partner phase with no publicly named paying customers
  • Highly competitive landscape with incumbents like Cyberhaven already well-funded
  • Pricing for advanced features is opaque which may slow enterprise procurement

Nightfall AI or Oximy — which should you choose?

Choose Nightfall AI if you want

Data not available

Choose Oximy if you want

  • Shadow AI detection
  • Data loss prevention for AI
  • Enterprise AI governance
  • Compliance enforcement

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Frequently Asked Questions

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