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Risk & ComplianceEstablished · 5 yrs on market

Nightfall AI

AI-native DLP that controls how sensitive data moves across AI agents, MCP servers, endpoints and SaaS.

By Nightfall AI · 4.5/5 Value-Position score (estimate)

Positioning guardrails

Best for

  • Security teams at 250–100,000+ user organisations replacing legacy DLP suites
  • CISOs who must stop sensitive data flowing into ChatGPT, Gemini and other Shadow AI tools
  • Companies that need to govern AI coding agents and MCP servers alongside SaaS and endpoint data movement
  • Regulated teams needing PII, PHI, PCI and secret detection at a claimed 95% precision with little tuning

Ideal size: Security/compliance teams of 3–50 people · Mid-market to Fortune 500 with a CISO-led security programme

Not for

  • Teams wanting a self-serve product with published per-seat list pricing
  • Organisations that only need Microsoft 365 data protection, where Purview may already suffice
  • Buyers looking for network-only or fully on-premises DLP with no endpoint or browser agent
  • Small firms with no dedicated security or compliance owner to run and tune policy

Value metrics scorecard

Time-to-Value

Hours to first detections; under 1 month full rollout

~1 days to first production value

Total Cost of Ownership

On request

Per user, per year, quote-based annual contract; two editions (Foundation, Premier) plus a data-volume add-on

Implementation Friction

1/5

Engineering + admin effort required

Value-Position score

4.5

out of 5 · model estimate

Full cost breakdown

Mandatory implementation fee

None

Seat tiers

Per-user annual licences; 2 endpoint devices included per user; contact sales for user minimums

Add-on costs

  • Data Discovery & Classification add-on packs: 1 TB, 3 TB, 5 TB and 20 TB annual tiers (150 GB included)
  • Additional endpoint device licences at the same per-endpoint annual rate

Company & support

Who is behind Nightfall AI, and how your team gets help once it is live.

Company

Founded
Not recorded
Headquarters
Not recorded

How you get support

  • PhoneNot listed
  • EmailNot listed
  • Live chatNot listed
  • Support portal / ticketsNot listed
  • Community forumNot listed
  • Help centre / docsNot listed
  • Dedicated account managerPaid plans
  • In person / on-siteNot listed
Hours
Not recorded
Response time
Priority support with 1-hour SLA (Foundation Edition, per pricing page)

Foundation Edition lists a dedicated customer success manager and 1-hour priority support SLA; Premier includes everything in Foundation. No support phone line, help-desk email or self-serve ticket portal is published.

“Not listed” means the vendor’s public pages don’t mention that channel, not that it is unavailable. Ask about it during evaluation.

Market position

Where Nightfall AI sits against its closest alternatives. Pick any two of cost, speed, friction and buyer score, and up to 9 companies to compare.

Quadrant view

Typical annual cost × Time-to-value

$0/yr$1/yr1d3d7d17d39dAnnual TCO ← betterDays to value better →Quick & CheapQuick & PriceySlow & CheapSlow & PriceyNightfall AIBarracudaMetomicDruvaVaronisTeramind

The lines cross at the median of the solutions shown, so about half sit on each side of each line.

Nightfall AI is outlined. Click any dot to open its dossier.

Companies on the chart 6 / 10

  • Nightfall AI
  • Barracuda
  • Metomic
  • Druva
  • Varonis
  • Teramind
Add or change companies

Up to 10 companies including Nightfall AI. Listed closest first.

Stack fit signal

Compatibility with standard B2B ecosystems.

MCPCustom build

No official MCP server. Reachable only by building one against their API.

SalesforceNative
AWSNot supported
SnowflakeNot supported
HubSpotNot supported
Google WorkspaceNative
Microsoft 365Native
SAPNot supported
SlackNative

AI & MCP readiness

What Nightfall AI ships in AI, and what it asks of your ecosystem.

AI features shipped

AI-native
Document processingAnomaly detectionAI governance tooling

Pre-trained ML detectors, LLM file classifiers and computer-vision models classify content at a claimed 95% precision; Nyx is described as an autonomous DLP analyst. Complete + AI Governance covers AI coding agents, MCP servers and MCP gateways with OpenTelemetry audit trails.

Your data & models

Trains on your data
Not recorded — ask the vendor
Runs on
Not recorded
AI pricing
Included in the plan

In your ecosystem

AI connection
Custom build only
Model key
Not recorded
AI usage audit
Not recorded

Compliance attestations

SOC 2 ISO 27001 — not listedGDPR — not listedHIPAA — not listedFedRAMP — not listedISO 42001 — not listedIAPP AIGP* — not listed

* IAPP AIGP certifies individuals, not products. It means named staff hold the credential — not that the platform does.

Bottom line

Nightfall AI is an AI-native data loss prevention and insider-risk platform that controls how sensitive data moves across SaaS apps, email, macOS and Windows endpoints, browsers and AI agents. API integrations connect in minutes via OAuth and endpoint agents deploy through MDM, with pre-trained detectors claiming 95% precision out of the box. Premier adds AI agent and MCP server governance. Pricing is per user, per year and quote-based, with a free 7-day proof of value.

Frequently asked questions

How quickly can we deploy Nightfall and see value?

SaaS integrations are OAuth-based and typically live in under an hour; endpoint agents deploy fleet-wide via MDM (Jamf, Intune, Iru) in about 10 minutes across hundreds of users. Nightfall says pre-trained detectors surface violations within 24 hours and most customers reach coverage across SaaS, endpoints and AI tools in under a month. Typical proofs of value run two weeks, and there is a free 7-day proof of value including a security assessment report. No professional services are required.

How is Nightfall priced?

Pricing is per user, per year and quote-based; no list price is published. Two packages exist: Foundation Edition (DLP for SaaS, email, AI apps and endpoints) and Premier Edition, which adds AI agent and MCP security. Premier is quoted in two coverage tiers — up to 3 apps, or all supported apps. Every plan includes 150 GB of data-at-rest scanning, with 1 TB, 3 TB, 5 TB and 20 TB add-on packs. Each user licence includes 2 endpoint devices; extra devices are billed at the same per-endpoint annual rate. Contact sales for a quote.

What data can Nightfall detect, and where does it enforce policy?

Pre-trained detectors cover PII, PHI, PCI, API keys, secrets, credentials and source code, plus custom detectors for internal identifiers, at a claimed 95% precision. Enforcement runs across 12+ API-integrated SaaS apps (Google Drive, Gmail, Slack, Salesforce, Jira, Confluence, GitHub, Zendesk, Microsoft 365, Notion, ChatGPT Enterprise and more), email, macOS and Windows endpoints and browsers. Actions include block, redact, quarantine, delete, revoke permissions, encrypt, disable download and coach the user, tuned by user group, data class and destination.

Does Nightfall cover AI agents and MCP servers?

Premier Edition (Complete + AI Governance) adds hooks for Cursor, Claude Code and VS Code, scanning prompts, shell commands, MCP tool calls and tool responses, with LLM responses monitor-only. It discovers local (stdio) and remote (HTTP/SSE) MCP servers, scores shadow-MCP risk, enforces policy at an MCP gateway, and exports an OpenTelemetry audit trail plus Claude Compliance API monitoring for Claude Enterprise. Browser and endpoint agents block sensitive prompts, uploads and clipboard pastes into consumer AI tools such as ChatGPT, Gemini and Perplexity.

What compliance certifications and security controls does Nightfall hold?

Nightfall's security page states SOC 2 Type II certification and says the platform is commonly used for HIPAA compliance; its pricing FAQ also lists ISO 27001 certification and HIPAA-ready, GDPR-compliant status. Customers in financial services, healthcare, life sciences and the public sector use it for PCI DSS, HIPAA, GLBA and state privacy requirements. Data is hosted on AWS, GCP and Azure with encryption at rest and TLS/AES-256 in transit, annual third-party penetration testing and quarterly access reviews. Documentation is available under NDA.

How does Nightfall compare with Microsoft Purview or legacy DLP?

Nightfall positions itself as an AI-native replacement for legacy suites, citing 95% out-of-the-box accuracy versus 5–25% for pattern-matching tools, no regex tuning, and roughly 50x lower total cost of ownership than Forcepoint, Symantec or Proofpoint in customer reports. It says Purview is content-blind outside Microsoft 365, so teams often keep Purview for M365 and add Nightfall for Slack, Google Drive, GitHub, endpoints, browsers and AI tools. It also claims content-inspection depth beyond lineage-only tools such as Cyberhaven, and says customers consolidate 3–5 security tools.