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Nightfall

Updated Jul 26, 2026
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Categories:
#datasecurity#datalossprevention#dlp#aisecurity#compliance
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Editor's Verdict

Rating: 4.3/5.0Reviewed by RAGWiki
At Contact for pricing (per user/year), Nightfall stands out as a powerful solution in the business landscape. It is especially well-suited for professionals like Chief Information Security Officer (CISO) and Security Engineer. However, potential buyers should note that it might not be perfect if you are strictly trying to avoid pricing not transparent. Overall, it offers a robust toolset that significantly accelerates workflows.

Key Takeaways

  • Data Detection & Response
  • Data Exfiltration Prevention
  • Nyx Autonomous DLP Analyst
  • AI Agent Security

In-Depth Review: What is Nightfall?

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Core Features

Data Detection & Response

Real-time detection and remediation of sensitive data exposure across SaaS apps and email with automated actions like blocking, encrypting, redacting, and revoking access.

Data Exfiltration Prevention

Prevents exfiltration of crown jewel data via endpoints, browsers, and AI apps by blocking uploads, copy/paste, clipboard, print, and USB transfers.

Nyx Autonomous DLP Analyst

AI agent that autonomously investigates threats, optimizes policies, and generates reports through natural language interactions.

AI Agent Security

Controls what AI agents (e.g., Cursor, Claude) access and expose, including MCP server discovery, shadow-MCP detection, and policy enforcement.

Data Discovery & Classification

Scans and classifies data at rest across cloud services to find and remediate years of sensitive data exposure.

AI-Powered Content Classification

Machine learning detectors identify secrets, credentials, PHI, PCI, PII, and custom patterns for accurate classification.

Data Lineage Tracking

AI-powered tracking of data movement from source to destination for complete visibility and audit trails.

Automated Remediation

Automatic response actions such as blocking, encrypting, redacting, quarantining, deleting, or restricting permissions with self-remediation options for end-users.

Integrations with SaaS and Endpoints

Seamless API-based integration with 12+ SaaS apps (Slack, Google Drive, Gmail, Microsoft 365, etc.) and endpoint agents for macOS and Windows.

Shadow AI Prevention

Detects and blocks data leakage to unauthorized generative AI tools (ChatGPT, Copilot, Gemini, etc.) across browsers and endpoints.

Pricing

Data Detection & Response (Tier 1)

Contact for pricing (per user/year)
  • Up to 3 apps: Slack, Google Drive, Gmail
  • Real-time sensitive data exposure removal
  • Revoke data access misconfigurations
  • AI-powered detectors (PII, PHI, PCI, secrets, custom)
  • Automated actions: block, encrypt, redact, quarantine, delete, restrict permissions
Most Popular

Data Detection & Response (Tier 2)

Contact for pricing (per user/year)
  • All supported apps (12+ including GitHub, Jira, Confluence, Microsoft 365, Salesforce, Zendesk, Notion)
  • Real-time sensitive data exposure removal
  • Revoke data access misconfigurations
  • AI-powered detectors
  • Automated actions

Data Exfiltration Prevention (DEX)

Contact for pricing (per user/year)
  • Endpoints (macOS, Windows) and browser protection
  • AI-powered data lineage tracking
  • AI-powered content classification
  • Block browser uploads/downloads, copy/paste, clipboard, print, USB
  • Shadow AI prevention
  • Nyx Autonomous DLP Analyst

Nightfall Complete

Contact for pricing (per user/year)
  • All DDR features across 12+ apps
  • All DEX features including endpoints (2 per user)
  • Data Discovery & Classification (500 GB included)
  • Dedicated customer success manager
  • Priority support with 1-hour SLA

Complete + AI Agent Security

Contact for pricing (per user/year)
  • All Complete features
  • Hooks for Cursor, Claude Code, VS Code
  • MCP server discovery (stdio and remote)
  • Shadow MCP detection with risk scoring
  • OpenTelemetry audit trail for Claude
  • Claude Compliance API monitoring
  • Unified policy across endpoint, SaaS, and AI agents

Pros and Cons

Pros

  • High Precision Detection95% precision in detecting sensitive data, minimizing false positives and saving analyst time.
  • Low Total Cost of Ownership10x lower TCO compared to traditional DLP solutions, making it accessible for startups to enterprises.
  • Self-Resolution Rate80% self-resolution by end-users with automated remediation and notification, reducing security team workload.
  • Comprehensive CoverageProtects data across SaaS, endpoints, browsers, and AI agents with a single platform.
  • AI-Powered AutomationAutonomous DLP analyst (Nyx) handles investigations and policy optimization, freeing up human analysts.

Cons

  • Pricing Not TransparentExact prices are not listed on the page, requiring users to contact sales for quotes.
  • Limited Endpoint Coverage in Base PlansDDR plan does not include endpoints; DEX plan includes only 2 endpoints per user by default.
  • App-Specific RestrictionsTier 1 DDR plan only covers up to 3 apps, which may be insufficient for organizations with diverse SaaS usage.
  • Requires Integration SetupEven with API-based integrations, initial setup and policy tuning may require technical expertise.
  • Dependency on Cloud InfrastructureOn-premises data protection is not explicitly mentioned; focuses on cloud-native environments.

Use Cases & Recommended Professions

Chief Information Security Officer (CISO)→ View Toolkit

Needs to prevent data exfiltration and exposure across the organization while ensuring compliance and reducing risk with automated DLP.

Security Engineer→ View Toolkit

Requires reliable detection and automated response to manage sensitive data incidents without manual overhead.

IT Architect→ View Toolkit

Needs to integrate DLP seamlessly into existing SaaS and endpoint infrastructure with minimal friction.

Compliance Officer→ View Toolkit

Must ensure data protection regulations (HIPAA, PCI, GDPR) are met by identifying and remediating exposure of PHI, PII, and PCI.

Data Privacy Officer→ View Toolkit

Focuses on protecting customer and employee data, requiring proactive discovery and classification of sensitive information.

Legal Counsel→ View Toolkit

Needs to mitigate legal risks from data breaches and inappropriate data sharing through robust data loss prevention controls.

Frequently Asked Questions

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ℹ️ Curation Disclosure: The overview and features of Nightfall were synthesized using AI and fact-checked by our curation team to ensure accuracy.

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