Security & Privacy / Data Loss Prevention (DLP) Software

Nightfall AI Review, Pricing, Pros & Cons

Nightfall AI is a cloud-managed data loss prevention platform that combines API-based SaaS and email detection and response with endpoint, browser, and generative-AI exfiltration controls. Its current package ladder adds a higher edition for AI-agent, IDE, and MCP security.

Research by Global Tool Radar Research SystemEvidence checked: Aug 12, 2026AI-assisted · No Global Tool Radar hands-on testView research methodology

Buying snapshot

Quick buying snapshot

A compact view of who this tool fits, what it costs, and what to confirm before choosing it.

Best for
  • Your DLP scope is centered on cloud SaaS, email, endpoints, browsers, and employee use of GenAI: Nightfall combines direct SaaS API integrations with endpoint agents and browser plugins, using one detection and policy system for monitoring, blocking, remediation, and coaching.
  • You need to extend DLP to AI-agent and MCP workflows: Complete + AI Agent Security adds AI assistant hooks, local and remote MCP discovery, shadow-MCP detection, audit telemetry, and Claude Enterprise monitoring.
More buying conditions
  • Automated remediation and employee coaching are important operating requirements: Nightfall documents blocking, redaction, encryption, quarantine, access restriction, notifications, justification, and self-remediation workflows.
Not for
  • You require transparent public numeric pricing or a self-service packaged DLP plan: All four current packages use sales-assisted pricing, and no public numeric package amount is shown.
  • You need traditional network-appliance or gateway DLP as the primary control plane: Current published coverage centers on SaaS APIs, email, endpoint agents, browser plugins, GenAI, AI agents, and stored SaaS data; a general network DLP product is not established.
More buying conditions
  • You assume programmable DLP APIs are part of every packaged DLP order: The Developer Platform and Firewall for AI have separate product documentation and their own Free and Enterprise API plan structure.
Pricing
  • Per-user, per-year sales-assisted pricing for four current DLP packages, with final price affected by package, application coverage, user count, and data volume.
  • Data Detection & Response · Requires quote · per user · per year · custom quote
Free or trial access
  • No permanent free plan for the packaged DLP product. Nightfall states a free 7-day proof of value; Developer Platform Free is a separate API product plan.

Product scope

Product functionality and purchase scope

The evaluated product is Nightfall's current four-package DLP ladder for SaaS, email, endpoints, browsers, GenAI applications, stored SaaS data, and, in the highest package, AI-agent and MCP workflows.

Product checked: Aug 12, 2026

Functionality reviewed
  • Data Detection & Response for SaaS and email
  • Data Exfiltration Prevention for endpoints, browsers, SaaS, and GenAI applications
  • Nightfall Complete
  • Complete + AI Agent Security
  • AI-agent, IDE, MCP, Claude Cowork, and Claude Enterprise controls in the higher package
Non-target functionality excluded from scoring
  • Nightfall Developer Platform and Firewall for AI API subscriptions
  • Data Discovery and Classification capacity beyond included allowance
  • Free 7-day proof of value, demos, assessments, and signup calls to action
  • Standalone third-party SaaS, email, SIEM, MDM, IDE, AI, and MCP products
  • Implementation or professional services not explicitly included in a current package

Pricing plans

Nightfall AI pricing table

Pricing checked: Aug 12, 2026

Official factConfidence 97%1 linked source

Data Detection & Response focuses on SaaS and email exposure; Data Exfiltration Prevention adds endpoint, browser, SaaS, and GenAI controls; Nightfall Complete combines both; Complete + AI Agent Security adds IDE, CLI, MCP, Claude Cowork, and Claude Enterprise controls. The public page shows per-user yearly units but no numeric amounts. Additional discovery capacity and Developer Platform access are separate.

Official pricing page
PlanPriceKey differencesBest for
Data Detection & Response
  • Requires quote · per user · per year · custom quote
  • Included stored-data scan volume: 150 GB; Scanning and remediation for data at rest.
Organizations focused on discovering and remediating inadvertent sensitive-data exposure across SaaS applications and email.
Data Exfiltration Prevention
  • Requires quote · per user · per year · custom quote
  • Endpoint device allowance: 2 devices; Per user for endpoint and browser protection.
Organizations prioritizing endpoint, browser, SaaS, cloud-sync, and GenAI exfiltration controls.
Nightfall Complete
  • Requires quote · per user · per year · custom quote
  • Endpoint device allowance: 2 devices; Per user for endpoint and browser protection.
  • Included stored-data scan volume: 500 GB; Scanning and remediation for data at rest.
  • Priority support response SLA: 1-hour; Priority support.
Organizations needing combined SaaS, email, endpoint, browser, GenAI, and stored-data DLP without AI-agent and MCP controls.
Complete + AI Agent Security
  • Requires quote · per user · per year · custom quote
  • Endpoint device allowance: 2 devices; Per user for endpoint and browser protection.
  • Included stored-data scan volume: 500 GB; Scanning and remediation for data at rest.
Organizations that need all Nightfall Complete coverage plus controls and visibility for AI agents, IDE and CLI assistants, MCP servers, Claude Cowork, and Claude Enterprise.

Plan upgrade triggers

Verified plan boundaries that can change the required edition.

Data Detection & Response Nightfall Complete

Need endpoint, browser, cloud-sync, or GenAI exfiltration prevention in addition to SaaS and email protection.

Supporting pricing evidence
Data Exfiltration Prevention Nightfall Complete

Need the complete SaaS and email detection-and-response package plus included stored-data scanning.

Supporting pricing evidence
Nightfall Complete Complete + AI Agent Security

Need enforcement or visibility for IDE and CLI AI assistants, MCP servers, Claude Cowork, or Claude Enterprise in addition to Complete coverage.

Supporting pricing evidence
What is included, connected, or sold separately

Product scope

What is included, connected, or sold separately

Material capabilities are separated by their verified relationship to the target product.

Programmable DLP APIs and SDKs for custom apps and AI data flowsAdd-on

The DLP pricing page offers Developer Platform capacity as an add-on, while the Developer API documentation also defines separate Free and Enterprise API subscriptions. Those API plans are not duplicated in the packaged DLP ladder.

Nightfall Developer Platform and Firewall for AI
API-based SaaS and email detection, remediation, and coachingIncluded capability

SaaS and email detection, remediation, and coaching are included across the current ladder, with Data Detection & Response also sold as its own entry package.

Data Detection and Response
Native integrations for supported SaaS, email, collaboration, code, CRM, and cloud-content servicesNative integration

Published examples include Slack, Google Drive, Gmail, GitHub, Jira, Confluence, Microsoft 365 services, Salesforce, Zendesk, and Notion. Third-party product licensing is not included.

Supported Nightfall integrations
AI-agent, IDE, CLI, MCP, and Claude workflow securityPlan-dependent capability

The pricing comparison marks the AI-agent stack unavailable in Complete and included in the higher package. LLM model responses are monitor-only where the package card applies that qualification.

Plan: Data Detection & Response: Unavailable · Data Exfiltration Prevention: Unavailable · Nightfall Complete: Unavailable · Complete + AI Agent Security: IncludedAI Agent Security
Endpoint, browser, cloud-sync, and GenAI exfiltration preventionPlan-dependent capability

Data Exfiltration Prevention is a current entry package and is also included in both Complete packages. It uses endpoint agents and browser plugins.

Plan: Data Detection & Response: Unavailable · Data Exfiltration Prevention: Included · Nightfall Complete: Included · Complete + AI Agent Security: IncludedData Exfiltration Prevention
Historical SaaS data discovery and classification capacityPlan-dependent capability

Data Detection & Response includes 150 GB, Data Exfiltration Prevention excludes stored-data scanning, and both Complete packages include 500 GB. Additional capacity is an add-on; no numeric add-on price was retained.

Plan: Data Detection & Response: Included · Data Exfiltration Prevention: Unavailable · Nightfall Complete: Included · Complete + AI Agent Security: IncludedData Discovery and Classification Add-On
Nyx-assisted DLP investigation, policy optimization, and reportingPlan-dependent capability

The current comparison includes Nyx in Data Exfiltration Prevention and both Complete packages, but not Data Detection & Response.

Plan: Data Detection & Response: Unavailable · Data Exfiltration Prevention: Included · Nightfall Complete: Included · Complete + AI Agent Security: IncludedNyx
Webhook export to SIEM, SOAR, alerting, and downstream security toolsThird-party integration

Nightfall documents webhook integration with tools such as Splunk, Sumo Logic, LogRhythm, Slack, and PagerDuty. Their licenses and ingestion costs remain separate.

Supported SIEM and security tools
How the score is calculated

Scoring method

How the score is calculated

The score uses the category-specific buying dimensions below and their displayed weights.

This page is based on public product information, official sources, structured feature data, and multi-model AI evaluation. It is not a hands-on lab test unless explicitly stated. Confidence percentages describe our research indicators, not the probability that a claim is true or a measured accuracy rate.

Evidence confidence
85%
AI claim confidence
98%
Required-field evidence status
100%
Evidence freshness
54%
Field traceability
100%
Model agreement
95%
Why this confidence level
  • Evidence confidence uses source level and claim-to-source support; AI claim confidence is shown separately.
  • Required-field evidence status measures whether weighted required claims have evidence links; it does not mean every product behavior was independently verified.
  • 8 of 8 weighted claims have evidence links.
  • 6 A1 documentary official sources and 6 A2 official product sources are linked.
  • 1 independent review sources are retained, including 0 professional sources with an explicit hands-on method.
  • 4 weighted claims are past the review window.
  • No blocking evidence conflict was identified.
Channel and data coverage18%
86

The product spans direct API-based SaaS and email monitoring plus endpoint and browser enforcement, and it also covers GenAI interactions, but the facts do not establish coverage for every possible application or transport path.

Detection and classification accuracy18%
87

The product combines machine learning, OCR, computer vision, fingerprints, regex, dictionaries, and prompt-based detection, which gives it multiple detection methods for classification, though the facts do not provide measured accuracy results.

Enforcement controls16%
87

The product offers blocking, redaction, encryption, quarantine, access restriction, alerts, justification, and self-remediation, which gives buyers multiple control types, but some GenAI cases are qualified as monitor-only or manual-remediation.

Incident operations14%
82

The product includes centralized policy administration, session evidence, Nyx-assisted investigation, and SIEM export, which supports incident operations, but the facts do not establish full workflow automation or case orchestration.

Governance and integrations12%
79

The product includes direct API-based SaaS and email integrations and SIEM export, which supports governance and operational integration, but the facts do not establish broader ecosystem breadth or sync guarantees.

User and risk context12%
77

The product provides data lineage, session evidence, and justification, which helps connect actions to context and user behavior, but the facts do not establish a full identity-risk or behavior-risk model.

Support and total cost10%
55

The product is sold by quote with no public numeric package price, payment schedule, or commitment term, and final price varies by package, application coverage, user count, and data volume, which makes total cost harder to pre-size.

Public review signals

Nightfall has favorable exact-product review aggregates

The retained exact-product aggregates are favorable. Visible review material commonly praises fast deployment, straightforward administration, SaaS integrations, detection fidelity, configurable policies, and responsive support; recurring cautions concern reporting customization, alert classification, browser-extension login, integration-specific gaps, and support response consistency.

Public review signals updated: Aug 12, 2026

Commonly reported strengths

  • Fast rollout and straightforward policy administration
  • Strong SaaS integration coverage and useful employee remediation workflows
  • High detection fidelity with fewer false positives than legacy approaches

Commonly reported concerns

  • Reporting and analytics customization can be limited
  • Alert classification and integration-specific controls may need refinement
  • Some endpoint and browser workflows add agent, extension, or user-login requirements
G24.6/5
Review count
98 reviews
Source context
Nightfall AI on G2Exact product
View sourceHistory baseline established: Aug 12, 2026
Score81
Pricing modelPer-user, per-year sales-assisted pricing for four current DLP packages, with final price affected by package, application coverage, user count, and data volume.
Use casediscover, classify, monitor, investigate, and prevent sensitive-data exposure and exfiltration across SaaS, email, endpoints, browsers, generative AI applications, AI agents, and stored cloud data
Company sizeEnterprise, Mid-market, Small business
Structured tags

Nightfall AI tag profile

Company size
  • Enterprise
  • Mid-market
  • Small business
Key features

Nightfall AI core capabilities

  • Direct API-based monitoring and remediation across supported SaaS and email services
  • Endpoint and browser enforcement across uploads, downloads, clipboard, cloud sync, USB, printing, screen capture, and GenAI
  • Machine-learning, OCR, computer-vision, fingerprint, regex, dictionary, and prompt-based classification
  • Blocking, redaction, encryption, quarantine, access restriction, alerts, justification, and employee self-remediation
  • Data lineage, session evidence, Nyx-assisted investigation, SIEM export, and centralized policy administration
  • Higher-package controls for IDE and CLI assistants, AI agents, MCP servers, Claude Cowork, and Claude Enterprise
Detailed strengths and purchase cautions
Pros

Why it is worth considering

  • The product supports API-based SaaS and email monitoring and remediation, which suits teams protecting cloud applications without relying on network appliances.
  • The product supports endpoint and browser enforcement across uploads, downloads, clipboard, cloud sync, USB, printing, screen capture, and GenAI interactions, which broadens coverage for data exfiltration workflows.
  • The product includes classification methods such as machine learning, OCR, computer vision, fingerprints, regex, dictionaries, and prompt-based detection, which supports mixed structured and unstructured data discovery.
  • The product includes blocking, redaction, encryption, quarantine, access restriction, alerts, justification, and employee self-remediation, which gives teams multiple enforcement and coaching options.
Cons

What to confirm before buying

  • The packaged DLP plans are quote-based and do not publish numeric package prices, payment timing, or commitment terms, which means commercial review requires a sales quote.
  • The pricing page states that final price depends on package, application coverage, user count, and data volume, which means budget planning depends on the scoped configuration.
  • Endpoint and browser protection depends on agents or browser plugins, while SaaS and email coverage depends on supported application integrations, so buyers should validate their target channels explicitly.
  • Selected GenAI apps carry monitor-only or manual-remediation qualifications in the official documentation, so enforcement behavior should be checked per application before rollout.
Cross-model buying perspectives

Multi-AI review

Cross-model buying perspectives

Multiple AI models assess this tool against the same buying criteria, so you can compare scores, confidence, fit, cautions, and final views.

AI assessment updated: Sep 23, 2026

Score comparisonGPTxAIRange
Channel and data coverage86851
Detection and classification accuracy90846
Enforcement controls88853
Incident operations83803
Governance and integrations847410
User and risk context80737
Support and total cost52586
dlp data discovery classification88862
dlp policy enforcement precision84840
dlp incident workflow effectiveness81810
dlp user coaching exception handling79790
dlp channel coverage operability82766
Where models differ
  • Governance and integrations: 74–84 (10-point range)
  • User and risk context: 73–80 (7-point range)
  • Detection and classification accuracy: 84–90 (6-point range)
GPTAI-assisted buyer perspective81

Nightfall AI fits buyers that need cloud-managed DLP across SaaS, email, endpoints, browsers, and GenAI, with a separate higher edition for AI-agent and IDE-related controls; buyers should confirm the quoted package, included scan volume, endpoint scope, and the app-specific enforcement mode before purchase.

Review confidence
81/100
Model details
Strengths
  • The product supports API-based SaaS and email monitoring and remediation, which suits teams protecting cloud applications without relying on network appliances.
  • The product supports endpoint and browser enforcement across uploads, downloads, clipboard, cloud sync, USB, printing, screen capture, and GenAI interactions, which broadens coverage for data exfiltration workflows.
  • The product includes classification methods such as machine learning, OCR, computer vision, fingerprints, regex, dictionaries, and prompt-based detection, which supports mixed structured and unstructured data discovery.
  • The product includes blocking, redaction, encryption, quarantine, access restriction, alerts, justification, and employee self-remediation, which gives teams multiple enforcement and coaching options.
Cautions
  • The packaged DLP plans are quote-based and do not publish numeric package prices, payment timing, or commitment terms, which means commercial review requires a sales quote.
  • The pricing page states that final price depends on package, application coverage, user count, and data volume, which means budget planning depends on the scoped configuration.
  • Endpoint and browser protection depends on agents or browser plugins, while SaaS and email coverage depends on supported application integrations, so buyers should validate their target channels explicitly.
  • Selected GenAI apps carry monitor-only or manual-remediation qualifications in the official documentation, so enforcement behavior should be checked per application before rollout.
xAIAI-assisted buyer perspective79

Nightfall AI fits cloud-first teams that need API SaaS and email detection plus endpoint, browser, and GenAI exfiltration controls with multi-method classification and automated remediation, provided the buyer selects the package that matches required channels and accepts quote-based per-user yearly pricing with volume-dependent cost.

Review confidence
79/100
Model details
Strengths
  • Direct API monitoring and remediation across supported SaaS and email services can reduce reliance on network inspection for cloud app exposure.
  • Classification combines machine learning, OCR, computer vision, fingerprinting, regex, dictionaries, and prompt-based detectors for structured and unstructured sensitive data.
  • Endpoint and browser controls cover uploads, downloads, clipboard, cloud sync, USB, printing, screen capture, and GenAI interactions when agents or extensions are deployed.
  • Enforcement actions include blocking, redaction, encryption, quarantine, access restriction, alerts, justification prompts, and employee self-remediation.
Cautions
  • All packaged DLP editions use sales-assisted per-user yearly quotes with no public numeric amounts, so budget approval requires a tailored quote driven by users and data volume.
  • Stored-data scan volume is limited to 150 GB on Data Detection & Response and 500 GB on Nightfall Complete and Complete + AI Agent Security, with additional capacity treated as optional.
  • Endpoint and browser protection on applicable packages includes a two-device-per-user allowance, which may constrain multi-device workers.
  • Endpoint and browser coverage depends on agents or browser extensions, and SaaS or email coverage depends on supported application integrations.

Research transparency

How this page was researched

A compact record of the evidence used, what was not tested, and which conclusions still need verification.

Official sources
12
Broad product review sources
1
Marketplace and app-store sources
0
Editorial sources
0
Latest evidence check
Aug 12, 2026
Research basis

Global Tool Radar generated this assessment from structured facts linked to public sources. No Global Tool Radar hands-on test is recorded in this page's research data. Any external hands-on assessment is identified separately and does not affect the Global Tool Radar score.

Conflict handling

No unresolved evidence conflict is currently recorded.

View research methodology
Verified findingsNo permanent free plan for the packaged DLP product. Nightfall states a free 7-day proof of value; Developer Platform Free is a separate API product plan.
  • Per-user, per-year sales-assisted pricing for four current DLP packages, with final price affected by package, application coverage, user count, and data volume.
  • Direct API-based monitoring and remediation across supported SaaS and email services Endpoint and browser enforcement across uploads, downloads, clipboard, cloud sync, USB, printing, screen capture, and GenAI Machine-learning, OCR, computer-vision, fingerprint, regex, dictionary, and prompt-based classification Blocking, redaction, encryption, quarantine, access restriction, alerts, justification, and employee self-remediation Data lineage, session evidence, Nyx-assisted investigation, SIEM export, and centralized policy administration Higher-package controls for IDE and CLI assistants, AI agents, MCP servers, Claude Cowork, and Claude Enterprise
  • No public numeric starting price; request a tailored Nightfall quote
  • Data Detection & Response focuses on SaaS and email exposure; Data Exfiltration Prevention adds endpoint, browser, SaaS, and GenAI controls; Nightfall Complete combines both; Complete + AI Agent Security adds IDE, CLI, MCP, Claude Cowork, and Claude Enterprise controls. The public page shows per-user yearly units but no numeric amounts. Additional discovery capacity and Developer Platform access are separate.
Verification notes and unresolved itemsThe current pricing presentation supports four package cards: Data Detection & Response, Data Exfiltration Prevention, Nightfall Complete, and Complete + AI Agent Security.
  • No numeric package or add-on amount was retained because the page exposes currency placeholders
  • payment timing, minimum quantity, commitment, renewal, and implementation amounts are not publicly established.
  • The comparison table states 150 GB of stored-data scanning for Data Detection & Response, none for Data Exfiltration Prevention, and 500 GB for both Complete packages.
  • The Developer Platform and Firewall for AI remain outside this plan ladder because current API documentation gives that programmable surface separate Free and Enterprise subscriptions, although the DLP pricing page also offers Developer Platform capacity as an add-on.
Sources checked

Sources checked

Nightfall AI source links

FAQ

Nightfall AI FAQ

What are Nightfall's current packaged DLP plans?

The current package cards are Data Detection & Response, Data Exfiltration Prevention, Nightfall Complete, and Complete + AI Agent Security. Complete combines the first two capability sets; the highest package adds AI-agent, IDE, MCP, and Claude-specific controls.

Does Nightfall publish a numeric price?

No. Nightfall states per-user, per-year pricing but requires a tailored sales quote, with final price affected by user count and data volume.

Is there a free plan or trial?

There is no verified permanent free edition of the packaged DLP product. Nightfall states a free 7-day proof of value. The Developer Platform Free plan is a separate API product.

Are Data Detection & Response and Data Exfiltration Prevention separate current plans?

Yes. The current pricing ladder presents each as its own package, alongside Nightfall Complete and Complete + AI Agent Security.

How does Endpoint DLP differ from SaaS and email DLP?

SaaS and email detection uses direct application API integrations. Endpoint and browser protection uses lightweight agents and browser plugins to monitor uploads, downloads, clipboard, cloud sync, USB, printing, screen captures, and GenAI interactions.

Is the Developer Platform the same as the packaged Nightfall DLP plans?

No. Nightfall documents the Developer Platform, also marketed through Firewall for AI, as a programmable API and SDK product with separate Free and Enterprise plans.

Popular comparisons

Common Nightfall AI comparisons

Only high-scoring and nearby tools from the same subcategory are shown, avoiding comparisons between unrelated use cases.