Nightfall AI

Nightfall AI is a unified data loss prevention (DLP) platform that protects sensitive data across AI applications, endpoints, and SaaS. It uses LLM and behavioral models to understand content sensitivity and trace data journeys, enabling real-time detection and response. The platform includes modules for Data Exfiltration Prevention, Data Detection & Response, Data Discovery & Classification, and Nyx, an autonomous DLP analyst. Nightfall helps organizations stop insider threats, coach safer user behavior, and reduce alert noise.

Key Features

• AI + Context: LLM-powered models assess content sensitivity and provide full data lineage.
• Holistic Coverage: Protects across SaaS apps, Gen AI tools, endpoints, and browsers.
• Frictionless Deployment: API-based integrations and lightweight agents deploy in minutes with minimal disruption.
• Human Firewall: Involves end users with real-time education and self-remediation.

Use Cases

• Stop data exfiltration via AI prompts, file uploads, and copy/paste.
• Eliminate exposure of sensitive data (PHI, PCI, PII, secrets) in collaboration tools.
• Revoke over-permissioned sharing in cloud storage.
• Prevent data leakage to unauthorized AI applications (Shadow AI).

Who It’s For

Nightfall serves organizations from startups to Fortune 500 enterprises, particularly security teams and SOC analysts needing to manage data risk across modern distributed environments.

Key Benefits

• Real-time detection and response across SaaS, endpoints, and AI tools
• AI-powered context and data lineage for accurate risk assessment
• Frictionless deployment with API integrations and lightweight agents
• Human firewall approach that educates and coaches end users