Skip to main content
Nightfall AI logo

Nightfall AI

AI-native data loss prevention across SaaS, AI apps and endpoints.

ai-security#data loss prevention#data security#ai security#compliance
Free trial Claimed API Teams Browser extension
Toolglade’s take

Nightfall AI is an enterprise data-security product bought by security and compliance teams, not an individual tool, and adoption typically runs through procurement and security review. Its ML-based detection can reduce false positives versus pure regex, and its coverage of generative-AI data leakage is timely, but pricing is quote-based and effectiveness depends on how well it maps to your specific SaaS stack and workflows. Pilot it against real data flows before committing.

About Nightfall AI

Nightfall AI is an AI-native data loss prevention platform that uses machine learning to discover and protect sensitive data, PII, credentials and secrets across SaaS apps, AI tools and endpoints. It targets enterprise security teams, adds AI-assisted incident triage, and uses quote-based pricing. Effectiveness depends on integration with an organization's specific stack and workflows.

Nightfall AI is a cloud-native data security platform that uses machine learning to detect and protect sensitive information, personal data, credentials and secrets, across the SaaS apps, AI applications and endpoints an organization uses. Rather than relying solely on regex rules, its ML detectors aim to reduce false positives while catching data that traditional pattern-matching misses. The platform has expanded from cloud DLP into broader data protection, including coverage for generative AI usage where employees might paste sensitive data into chatbots. In 2026 the company leaned into AI automation with features like an autonomous DLP analyst that helps triage and respond to incidents, reflecting a shift toward AI-assisted security operations. Nightfall is an enterprise-oriented product: pricing is quote-based, typically starting in the low five figures annually and scaling by users, data volume and API usage. Buyers should scope it against their specific SaaS stack, compliance requirements and incident-response workflows, and plan for a security-procurement process rather than self-serve signup.

TL;DR

Nightfall AI is an AI-native data loss prevention platform that uses machine learning to find and protect sensitive data across SaaS apps, AI tools and endpoints. It targets enterprise security teams and has added AI-assisted incident triage. Pricing is quote-based, often starting in the low five figures annually. It is an enterprise product requiring security procurement, not a self-serve tool.

Company overview

Nightfall AI (nightfall.ai) is a cloud-native data security company focused on data loss prevention using machine learning.

It serves security and compliance teams at growth-stage and enterprise organizations, and has expanded from cloud DLP into broader protection covering AI applications and endpoints.

Product features

The platform uses ML detectors to identify PII, credentials, secrets and other sensitive data across integrated SaaS apps, AI tools and endpoints, with a browser and API-based deployment model. Integrations span Slack, Google Workspace, Microsoft 365, GitHub and more.

In 2026 it emphasized AI automation, including an autonomous DLP analyst to help triage and respond to incidents, reflecting a shift toward AI-assisted security operations.

Target market

Enterprise and growth-stage organizations with significant SaaS and AI usage that need to prevent sensitive-data leakage and meet compliance requirements.

Buyer personas

End users

Security analysts and DLP administrators monitoring alerts and tuning policies.

Buyers

CISOs, security leaders and compliance officers.

Key influencers

IT and security architects, auditors and data-privacy teams.

Ideal customer profile

A growth-stage or enterprise organization with heavy SaaS and AI usage that needs ML-driven DLP integrated across its stack.

Funding & performance

Nightfall AI raised a $40 million Series B in 2022 led by WestBridge Capital, with participation from Next Play Capital and existing investors including Bain Capital Ventures, Venrock and Pear VC. Total disclosed funding is reported around $60 million-plus.

Pros & cons

Pros

  • ML detection reduces false positives versus regex
  • Broad coverage across SaaS, AI apps and endpoints
  • Timely protection for generative-AI data leakage
  • AI-assisted incident triage and remediation
  • Wide integration catalog
  • API-first for custom scanning

Cons

  • Enterprise pricing with no public rates
  • Requires security procurement process
  • Effectiveness depends on stack fit
  • Tuning needed to control alert volume
  • Not aimed at individuals or small teams
  • Cloud-hosted rather than self-hosted

Pricing plans

Enterprise
Custom
  • AI-native DLP across SaaS, AI apps and endpoints
  • ML detection for PII and secrets
  • Automated incident triage
  • Integrations and API access

Key features

API
Browser extension
Team collaboration
Integrations
Slack, Google Workspace, Microsoft 365, GitHub, Jira, Salesforce, REST API
Input types
text, files, api data
Output types
alerts, reports, remediation actions
Best For
preventing data leakage in SaaS, protecting data in AI apps, detecting secrets and PII, automating DLP incident response

Compare key features

View all alternatives →
Feature
Nightfall AI
HiddenLayer
Lasso Security
Pricing
Paid
Paid
Paid
Free plan
No
No
No
Free trial
Yes
No
No
API
Yes
Yes
Yes
Self-hosted
No
Yes
No
Team support
Yes
Yes
Yes

Frequently asked questions

What does Nightfall AI protect?+

It discovers and protects sensitive data such as PII, credentials and secrets across SaaS applications, AI tools and endpoints.

How is Nightfall different from traditional DLP?+

It uses machine-learning detectors rather than relying solely on regex, aiming to reduce false positives and catch data that pattern-matching misses.

Does Nightfall address AI data leakage?+

Yes, it covers generative-AI usage, helping prevent employees from exposing sensitive data in chatbots and AI applications.

Is there public pricing?+

No. Pricing is quote-based and scales by users, data volume and API usage; contact the vendor for a quote.

Who uses Nightfall AI?+

It is built for enterprise and growth-stage security and compliance teams rather than individuals or very small teams.

Reviews (0)

Write a review

Pick a rating
Loading reviews…
Compare

Compare Nightfall AI with other AI tools

Side-by-side pages for pricing, features, and best-fit use cases.

All comparisons →

Similar tools you may like