An AI-native platform that automatically discovers and classifies sensitive data across SaaS applications with high accuracy.
Vendor
Nightfall
Company Website
Nightfall Data Discovery and Classification is an AI-powered solution designed to eliminate sensitive data exposure at rest across SaaS applications. It leverages pre-trained Large Language Models (LLMs) and Computer Vision models to classify various types of sensitive content, including Secrets & Credentials, Protected Health Information (PHI), Financial Information (PCI), and Personally Identifiable Information (PII), achieving up to 95% accuracy. Unlike legacy solutions that require manual tuning of regex or dictionaries, Nightfall offers a frictionless deployment through direct API integrations with commonly used SaaS applications such as Slack, Microsoft 365, Google Workspace, Atlassian, GitHub, and Salesforce. The platform streamlines Security Operations (SecOps) by automatically redacting or removing sensitive data exposure across petabytes of data, providing full visibility into actions taken. It delivers measurable business outcomes, including 10x greater accuracy and faster remediation times compared to traditional DLP solutions, and enables complete deployment across multiple SaaS apps in under an hour. Nightfall's automated scanning scales to petabytes of data without impacting source applications, offering a 10x lower total cost of ownership and enabling 80% self-resolution for security teams.
Features & Benefits
- AI-Powered Discovery and Classification: Utilizes LLMs and Computer Vision models to classify sensitive data (Secrets, PHI, PCI, PII) with 95% accuracy, eliminating the need for regex tuning.
- Comprehensive SaaS Coverage: Monitors and protects sensitive data at rest across major SaaS applications like Slack, M365, Google Workspace, and Salesforce.
- Frictionless API Deployment: Deploys in minutes via direct API integrations, avoiding complex on-premise architectures.
- Streamlined SecOps Automation: Automatically redacts or removes sensitive data with full visibility, reducing manual review and improving operational efficiency.
- Measurable Business Outcomes: Achieves 10x greater accuracy, 10x faster remediation, and a 10x lower total cost of ownership than legacy DLP solutions.