
Nightfall

Editor's Verdict
Key Takeaways
- Data Detection & Response
- Data Exfiltration Prevention
- Nyx Autonomous DLP Analyst
- AI Agent Security
In-Depth Review: What is Nightfall?
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)
- 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
Data Detection & Response (Tier 2)
- 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)
- 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
- 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
- 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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View Detailed Comparison →ℹ️ Curation Disclosure: The overview and features of Nightfall were synthesized using AI and fact-checked by our curation team to ensure accuracy.












