Data Protection
Nightfall DLP Platform
AI-native DLP platform that stops data leaks across AI apps, SaaS, email, browsers, and endpoints.
Nightfall DLP Platform Overview
What it does
Nightfall DLP Platform is an AI-native data loss prevention and insider risk platform that discovers, classifies, and blocks sensitive data exfiltration across SaaS applications, generative AI tools, email, browsers, and endpoints. The platform uses 100+ AI models, LLM file classifiers, and computer vision to classify PII, PHI, PCI, secrets, and credentials with 95% precision, tracing data lineage from source to destination for context-aware enforcement.
How it works
The platform spans four modules: Data Exfiltration Prevention for blocking outbound data movement, Data Detection and Response for real-time SaaS and AI exposure control, Data Discovery and Classification for at-rest sensitive data inventory, and Nightfall Nyx, an agentic DLP analyst that investigates incidents and optimizes policies through natural language. MCP Observability extends coverage to Model Context Protocol servers used in AI agent workflows.
Credentials and traction
Nightfall DLP Platform holds SOC 2 Type II certification and is commonly used for HIPAA compliance. It is used by enterprises across financial services, healthcare, and technology, including Snyk, Exabeam, Genesys, and Kandji, with customers citing it for streamlining PCI DSS compliance and enabling safe generative AI adoption.
Key Capabilities
mapped to solution categoriesDiscovers and enforces data policies for content stored in or transiting through cloud applications and storage, extending DLP coverage to SaaS environments without endpoint agents.
Extracts text from images, scanned PDFs, and screenshots to classify and detect sensitive data that would bypass text-pattern matching.
Correlates DLP policy violations with user behavioral context, distinguishing routine data movement from anomalous exfiltration patterns associated with insider threat or account compromise.
Applies sensitivity labels to data automatically based on content analysis and context without requiring users to manually classify documents before policy enforcement.
Detects and controls sensitive data entered into generative AI tools, applying block, redact, or warn actions before data leaves the organization.
Monitors and enforces data movement policies on endpoints, blocking or logging USB transfers, clipboard operations, print jobs, and screen captures of content matching classification policies.
Provides an automated incident response workflow for data loss events.
Compliance
certificationsIntegrations
compatible toolsImplementation & support
Info last updated on May 27, 2026
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