Real-time SaaS monitoring
Monitors content as it is shared, sent, created, or updated in connected SaaS apps so teams can catch exposure in real time instead of after the fact.
Nightfall is an AI data security and data loss prevention platform that helps organizations detect sensitive data exposure, understand how data moves across systems, and stop exfiltration across SaaS apps, AI tools, browsers, and endpoints. The product positioning emphasizes real-time visibility and control for modern environments where legacy DLP tools struggle to keep up.
The platform combines SaaS API integrations, endpoint controls, browser-based enforcement, AI content classification, and data lineage tracking. Nightfall’s product pages also show packaged options for Data Detection & Response, Data Exfiltration Prevention, Nightfall Complete, and AI Agent Security, plus add-ons for data discovery and classification and a developer platform for custom applications.
Monitors content as it is shared, sent, created, or updated in connected SaaS apps so teams can catch exposure in real time instead of after the fact.
Uses AI-based detectors, file classifiers, and content inspection to identify secrets, credentials, PII, PHI, PCI, source code, and other sensitive content with context-aware classification.
Reconstructs how a file or data item moved from source to destination so policies can evaluate risk based on data movement, not just keywords or patterns.
Blocks or limits risky actions such as uploads, downloads, copy/paste, clipboard use, printing, USB transfer, and unauthorized sharing depending on the plan and policy.
Adds agentic investigation with Nyx, which can review threats, optimize policies, and generate reports through natural language interactions.
Extends protection to AI workflows with hooks for Cursor, Claude Code, VS Code, MCP discovery, and Claude Enterprise monitoring on supported plans.
Monitor Slack, Google Drive, Gmail, Microsoft 365, Jira, Confluence, Salesforce, Zendesk, and Notion for sensitive data exposure as content is shared or updated.
Block uploads, downloads, copy/paste actions, print jobs, and USB transfers on endpoints and supported browsers when users attempt to move crown-jewel data.
Detect secrets, credentials, PII, PHI, PCI, source code, and related sensitive content in AI interactions and stop unsafe sharing with tools like ChatGPT, Copilot, Gemini, Claude, Perplexity, and others.
Track how files move from one system to another and use lineage to flag suspicious paths such as personal cloud storage sync or renamed files leaving approved systems.
Standardize policy and reporting for compliance and SecOps teams that need evidence for audits such as SOC 2, PCI DSS, and HIPAA without relying on manual review alone.
Nightfall is an AI-native data loss prevention platform that monitors SaaS applications, endpoints, browsers, email, and AI apps to detect sensitive data exposure and stop exfiltration before it leaves the organization.
Nightfall says SaaS API integrations can be deployed in minutes and that full SaaS coverage can go live in under an hour, while endpoints and browser controls extend protection to Windows, macOS, and supported browsers.
Nightfall classifies content such as secrets, credentials, PII, PHI, PCI, source code, and other sensitive business data, then can block, redact, quarantine, encrypt, delete, or restrict permissions depending on the policy and product area.
Nightfall is built for SecOps, security, compliance, and IT teams that need centralized policy across SaaS, endpoints, browsers, and AI tools, including environments that use Shadow AI or AI agents.
The pricing page shows packaged solutions and add-ons, including Data Detection & Response, Data Exfiltration Prevention, Nightfall Complete, and AI Agent Security, but does not publish fixed prices in the provided text.
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