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SecuredAI vs Nightfall AI: Which Fits Your AI Security Needs?

Nightfall pioneered ML-powered cloud DLP and processes massive data volumes for large enterprises. SecuredAI focuses specifically on AI workflows with Reveal Technology that restores masked data in responses. Both are strong platforms. Here's how to choose.

What Both Platforms Do Well

Both platforms use machine learning for sensitive data detection. Both moved beyond basic regex to catch context-dependent data that traditional DLP misses. Both offer API-first design.

ML-powered PII/PHI detection
Cloud-native architecture
API-first design for developers
Compliance reporting

Where the Approaches Differ

Response Usability

Secured AI

Reveal Technology automatically restores masked values in AI responses. Users get actionable answers without manual reconstruction or separate API calls.

Nightfall AI

Standard redaction replaces sensitive data in cloud apps. Encryption option available for developer use cases that need reversibility.

This matters for AI use cases: masked outputs without easy reveal can slow down teams who need the real data to act on AI recommendations.

Detection Breadth

Secured AI

40+ data types optimized for AI workflows. Focused detection library with strong accuracy on AI-specific patterns plus custom pattern support.

Nightfall AI

100+ data detectors covering many scenarios. Broad detection library built over years of enterprise deployments.

Nightfall has broader detection; SecuredAI has deeper AI-specific detection.

Enterprise Scale

Secured AI

Built for AI-first organizations. Sub-100ms processing designed for interactive AI use. Scales with your AI adoption.

Nightfall AI

Proven at large scale, processing hundreds of terabytes daily. Strong track record with 50,000+ employee deployments.

Both platforms handle enterprise scale; evaluate based on your primary use case.

Feature Comparison

Feature comparison: Secured AI vs Nightfall AI
CapabilitySecured AINightfall AI
ML-powered detection
Detection breadth40+100+
Context-preserving masking
Response de-obscuring (Reveal)
ChatGPT integration
Claude integrationcoming soon
Slack integration
GitHub integration
Real-time protection
Developer API
End-to-end encryption
Usage-based pricing
Per-user pricingpartial

Comparison based on publicly available information as of January 2025. Contact vendors directly for current capabilities.

Which Solution Is Right for You?

Choose Secured AI if:

  • AI data protection is your primary focus
  • You need usable AI responses, not just detection
  • Predictable per-user pricing fits your model
  • Context preservation is essential for AI accuracy

Consider Nightfall AI if:

  • You need broad cloud DLP beyond AI tools
  • Detection breadth (100+ types) matters more than AI-specific depth

Switching from Nightfall AI?

We've helped multiple organizations migrate from Nightfall. Our team provides hands-on support to ensure detection accuracy meets or exceeds your current implementation.

1Review current Nightfall detection policies
2Map detector configurations to Secured AI equivalents
3Configure AI-specific integrations and Reveal settings
4Run parallel detection comparison
5Migrate users with zero downtime

"Nightfall's detection was excellent, but the masked outputs were killing our AI adoption. After switching to Secured AI, our team actually started using AI productively. The Reveal feature made all the difference."

Rachel Martinez

VP of Information Security, Financial Services Firm

Migrated from Nightfall AI to Secured AI

Frequently Asked Questions

Is Nightfall's detection more comprehensive?
Nightfall offers 100+ detectors versus SecuredAI's 40+. However, SecuredAI's detectors are specifically optimized for AI workflows and include custom pattern support for your unique data types.
How do the pricing models compare?
Nightfall uses usage-based pricing that scales with data volume. SecuredAI uses per-user pricing with unlimited API calls at higher tiers. For heavy AI usage, SecuredAI often proves more predictable.
Can I use both platforms together?
Yes. Some organizations use Nightfall for non-AI cloud DLP and SecuredAI specifically for LLM protection. The overlap is minimal when scoped this way.
What about Nightfall's AI capabilities?
Nightfall has expanded into "GenAI-native DLP" with strong features. The key difference is SecuredAI's Reveal Technology for automatic data restoration in AI responses.

See the Difference Yourself

Start a free trial and compare detection accuracy and response usability side-by-side.

Free trial • Full features • Migration support available