Eliminate sensitive data exposure at rest across SaaS applications

Nightfall eliminates at-rest sensitive data exposure and inappropriate data sharing with API integrations with your most commonly used SaaS applications.
The All-in-One Data Loss Prevention Platform
Problem

The problem with legacy data discovery and classification tools

Legacy data discovery and classification tools are riddled with false positives, have complex architectures, and aren't designed for petabyte scale.

AI Powered Discovery and Classification

Never tune a regex, manage exact data dictionaries or rely on subpar Optical Character Recognition again. Pre-trained LLM and Computer Vision models classify content such as Secrets & Credentials (NHI), Protected Health Information (PHI), Financial Information (PCI), and Personally Identifiable Information (PII) with 95% accuracy.

Comprehensive coverage across your SaaS apps

Monitor and remove sensitive data exposure at rest across your most commonly used SaaS applications like Slack, M365, Google Workspace, Atlassian, Github, Salesforce and more.

Frictionless Deployment

Deploy in minutes via direct API based integrations and a simple but powerful policy experience. No more managing complex on-prem architectures and are a nightmare to maintain.

Streamlined SecOps

Automatically redact or remove sensitive data exposure across petabytes of data with full visibility into what content was eliminated.
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DLP that delivers measurable business outcomes
Operational Efficiency

Operational Efficiency

10x more accurate compared to legacy DLP. 10x faster time to remediation due to automation and intuitive UX
Time to Value

Time to Value

Complete deployment across 12+ SaaS apps in an hour vs. industry average of several weeks.
Data Exfiltration Prevention

Scale

Automated scanning for petabytes of data with no impact to source applications.

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