Nightfall AI
ML-based DLP tuned for SaaS, email, and AI apps.
Overview
A cloud-native data loss prevention platform that uses machine-learning detectors to catch sensitive data across SaaS, email, endpoints, browsers, and generative-AI tools, plus a developer API for embedding scans in your own apps.
Pricing
Pricing shown for reference only. These figures reflect RECATOOLS research as of 13 Jul 2026 and may be out of date or incomplete. This is not financial or purchasing advice — always confirm the current price on the provider’s official website before making any decision.
- 3 GB scanned per month
- Access to detection engine via API
- For developers/testing
- Limited SaaS integrations (e.g. Slack, Google Workspace)
- Pre-built detection policies
- Annual subscription
- Expanded SaaS + endpoint coverage
- Custom detectors
- GenAI data protection
- High data-volume scanning
- Full integration set
- Advanced compliance + support
What you can produce with Nightfall AI
- ML detectors for PII, PCI, PHI, secrets, and credentials
- GenAI data protection for ChatGPT, Copilot, Gemini, Claude, and more
- Coverage across SaaS, email, endpoints, and browsers
- Developer API with a free 3 GB/month tier
- Real-time prompt and file-upload blocking via browser/endpoint agents
- Pre-built detection policies for common SaaS apps
- Automated remediation and end-user notifications
ASEAN Perspective
Nightfall AI in Southeast Asia
ASEAN-region availability and pricing notes coming soon. Drop the editorial team a note via /contact/ if you can supply local context (Singapore/Malaysia/Indonesia/Thailand/Vietnam).
Nightfall's pitch is that machine-learning detectors beat regex at the false-positive game, and reviewers largely back that up: teams say it rolls out and tunes faster than legacy DLP, with a simple end-user notification flow that doesn't generate revolt. The 2026 hook is GenAI coverage, with browser and endpoint agents that watch prompts and file uploads to ChatGPT, Copilot, Gemini, Claude, and others, and block sensitive content before it leaves. It fits security and compliance teams protecting cloud/SaaS data, plus developers who want programmatic content inspection through the API. Caveats: it's quote-based and enterprise-priced (six-figure ACVs at high data volumes), detector tuning still takes real work, and the value hinges on whether Nightfall covers the specific SaaS apps you run. US-based, so ASEAN buyers with data-residency rules should confirm handling before committing.
What people say
Across G2, Capterra, and Gartner Peer Insights, Nightfall's reputation rests on two things: it's easy to stand up, and the ML detectors keep noise down. Reviewers repeatedly describe rollout as quick, the UI as simple, and detection rules as easy to build and tune compared with older DLP products. The end-user experience, a straightforward notification when something is flagged, comes up as a plus because it doesn't bury employees in alerts.
The company positions itself as an AI-native DLP platform running 100+ machine-learning detectors with a claimed ~95% accuracy, spanning SaaS, endpoints, email, browsers, and AI apps. The GenAI angle is the current selling point: purpose-built controls to stop data leaking into ChatGPT, Copilot, Gemini, Deepseek, Perplexity, Claude, and Grok via browser plugins and endpoint agents that inspect prompts and uploads in real time and block sensitive content automatically.
Developers get their own lane. The Nightfall Developer Platform exposes the detection engine through an API, with a free tier capped at 3 GB scanned per month, which makes it practical to embed content inspection into custom apps and pipelines without a full platform contract.
Pricing is the friction point. Nightfall doesn't publish per-seat or per-GB rates; deals are quote-based and shaped by seat count, data volume scanned, which SaaS integrations you need, and service tier (Starter, Business, Enterprise). Third-party marketplaces peg Starter deployments in roughly the $5,000-$15,000/year range, with large enterprises (50+ TB/month, heavy integrations) landing around $75,000 and climbing past $200,000. There's no free tier for the main platform.
What to watch: coverage is only as good as the apps you actually use, so map your SaaS estate against Nightfall's integration list first. Detector tuning is lighter than legacy DLP but not zero-effort. And for regulated ASEAN buyers, confirm where scanning happens and how data residency is handled, since Nightfall is a US operation.
Summary of public user & expert reviews, compiled by RECATOOLS.
About this listing
This entry was compiled from publicly available data including Nightfall AI's official website, press releases, documentation, and reputable third-party publications. RECATOOLS is not affiliated with Nightfall AI unless explicitly stated.
Third-party AI tools update their pricing, features, availability, and policies frequently. Information here may be outdated by the time you read this — we make reasonable efforts to keep listings current, but cannot guarantee absolute accuracy.
For the latest details, please refer to Nightfall AI directly →
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