Nightfall AI
PaidAI-native DLP platform to stop data leaks across SaaS, endpoints, and AI apps.
By Tanmay Verma, Founder · Last verified 21 May 2026
3.7k views
Added 4/3/2026
80/100Safe BetAI-native DLP platform to stop data leaks across SaaS, endpoints, and AI apps.
By Tanmay Verma, Founder · Last verified 21 May 2026
Affiliate disclosure: We earn a commission when you use our links. Editorial picks are independent. How we choose.
Nightfall delivers on the promise of AI-native DLP with high accuracy and rapid deployment. Ideal for teams overwhelmed by legacy DLP noise, but premium pricing may deter smaller orgs. Nyx autonomous analyst is a standout feature for reducing alert fatigue.
Compare with: Nightfall AI vs Darktrace, Nightfall AI vs Orca Security
Last verified: May 2026
Pick Nightfall if your team is tired of legacy DLP’s endless false positives and slow policy tuning — its 95% accuracy out of the box is a genuine leap over regex-based tools. The Nyx agentic analyst is a real time-saver for security operations, autonomously investigating incidents and reducing manual triage by 80% according to customer claims. Integrations are solid for cloud-native stacks: Slack, Google Workspace, GitHub, and Microsoft 365 are covered, with API-based setup in hours. Pass if you need heavy on-premise DLP (e.g., file servers, custom enterprise apps) — Nightfall is SaaS-first. For strictly endpoint DLP, consider dedicated tools like Microsoft Purview or Symantec, but Nightfall offers broader cloud and AI app coverage. Watch out for pricing: it’s not disclosed, and Signal Sciences-style per-seat costs can add up. Overall, a strong modern DLP play for AI-safe adoption.
Skip Nightfall AI if Skip Nightfall if you need a budget DLP under $5/user/month or operate in an on-premise-only environment.
Nightfall analyzes CISA's credentials leak on GitHub as a warning for MCP security risks with AI agents.
Nightfall explains MCP security fundamentals, highlighting visibility gaps in AI agent data access.
How likely is Nightfall AI to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Nightfall is an AI-native data loss prevention (DLP) platform that automatically detects and blocks sensitive data exposure and exfiltration across SaaS apps, AI tools, endpoints, browsers, and email. Designed for security teams at startups to Fortune 500 enterprises, it uses over 100 AI-based models (including LLM file classifiers and computer vision) to achieve 95% detection accuracy out of the box. Key features include data exfiltration prevention, data detection and response (DDR), data discovery and classification (DDC), and Nyx – an autonomous DLP analyst agent that investigates incidents with expert judgment. The platform covers 15+ integrations including Slack, Google Drive, GitHub, Salesforce, and Microsoft 365, and deploys in minutes via API-based integrations, lightweight agents, and browser plugins. Nightfall positions itself as a modern alternative to legacy DLP solutions that struggle with 5-25% accuracy and require months of tuning.
Concrete scenarios for the personas Nightfall AI actually fits — and what changes day-one when you adopt it.
Integrate Nightfall with Slack and GitHub to scan for leaked API keys and credentials.
Outcome: Automatically redacts exposed keys in Slack messages and alerts the engineer via Slack, reducing incident response time from hours to minutes.
Deploy Nightfall DDR for Google Drive and Gmail to detect PHI shared externally.
Outcome: PHI-bearing files are quarantined, and the employee receives a coaching notification; compliance reports are generated for HIPAA audit.
Enable Nightfall DEX to block copy-paste of sensitive data into unauthorized AI apps like ChatGPT.
Outcome: Any attempt to paste client data into ChatGPT is blocked, with a contextual notification to the user and an alert to the security team.
Pricing is per-user per-year and can be expensive for large deployments. The free tier is limited to 100 scans per month with only Slack integration. Advanced features like data discovery and classification require a separate add-on. Endpoint protection is add-on and only for macOS and Windows. Some integrations may require additional configuration or API keys. Pricing details are not transparent on the website; you must contact sales for custom quotes.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Nightfall AI tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo security researcher or very small team wanting to evaluate DLP capabilities with Slack only.
What this tier adds
Starting tier with 100 scans/month and only Slack integration; no add-ons available.
Developer
$0.01/API call
Ideal for
Developers and DevOps teams who want to build custom DLP pipelines via API.
What this tier adds
Pay-per-API-call ($0.01/call) with full access to custom detectors and all data types; no per-user licensing.
Enterprise
Contact sales
Ideal for
Large organizations needing comprehensive DLP across all SaaS, AI apps, and endpoints with dedicated support.
What this tier adds
Contact sales for pricing; includes all integrations, custom policies, admin controls, and priority support with 1-hour SLA.
The company stage and team size where Nightfall AI's pricing actually pencils out — and where peers do it cheaper.
Nightfall's pricing is per-user per-year with two tiers for DDR (up to 3 apps vs all apps) and DEX, plus add-ons. This scales high for large teams; cheaper alternatives like Satori Cyber offer simpler per-workload pricing. Nightfall is best for mid-to-large enterprises with 200+ seats who need broad app coverage and autonomous investigation.
How long it actually takes to get something useful out of Nightfall AI — broken out by persona, not the marketing-page minute.
API-based integrations deploy in minutes: connect Slack, Google Drive, or GitHub with OAuth. Browser plugins and endpoint agents install in under 10 minutes per device. Most teams see first alerts within 15 minutes of integration. Nyx autonomous analyst requires a brief configuration period (~1 hour) to tune policies.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Common stack mates teams adopt alongside Nightfall AI, with the specific reason each pairing earns its keep.
Used Nightfall AI? Help shape our editorial sentiment research.
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Lists 5 risks from 20,000+ public MCP servers, noting limited enterprise visibility.
Last calculated: May 2026
AI-powered autonomous cybersecurity platform for enterprises