Nightfall.ai
Nightfall.ai protects sensitive data from AI-driven threats with intelligent, automated, and scalable DLP across modern work environments.
Category: AI Detection
Price Model: Freemium
Audience: Enterprise
Trustpilot Score: 0
Trustpilot Reviews: N/A
Our Review
Nightfall.ai: Intelligent AI-Powered Data Loss Prevention for Modern Enterprises
Nightfall.ai is a cutting-edge AI-powered Data Loss Prevention (DLP) platform designed to safeguard sensitive data across modern digital environments, including SaaS applications, generative AI tools, endpoints, and browsers. Built for organizations in technology, healthcare, financial services, legal, and manufacturing sectors, it delivers proactive protection against data exfiltration, unauthorized sharing, and exposure to Shadow AI. Leveraging advanced Large Language Models (LLMs) and behavioral analytics, Nightfall intelligently detects and responds to risks with 95% precision and enables 80% automated remediation, drastically reducing alert fatigue and response time. With seamless integrations across Slack, Google Drive, Microsoft 365, Salesforce, Notion, and leading AI platforms like ChatGPT and Copilot, it ensures comprehensive coverage without disrupting workflows. The platform offers real-time detection, automatic blocking, encryption, redaction, quarantine, deletion, and permission restriction—plus AI-driven data classification and lineage tracking. Deployment is frictionless via API, lightweight agents, or browser plugins, and Nightfall provides a 7-day proof-of-value with a satisfaction guarantee, offering a free security assessment if no risks are found. Customers typically achieve a 3x ROI within 90 days.
Key Features:
- Data Exfiltration Prevention (DEX): Stops crown jewel data from leaving the organization through SaaS, AI apps, browsers, and endpoints.
- Data Detection & Response (DDR): Prevents sensitive data exposure across SaaS apps and email with real-time alerts and automated actions.
- Data Discovery & Classification: Automatically identifies and classifies sensitive data across cloud environments with scalable tiers (150 GB to 20 TB).
- AI-Powered Detectors: Detects secrets, credentials, PHI, PCI, PII, and other sensitive data using advanced LLMs and behavioral models.
- Real-Time Detection & Automation: Instantly identifies threats and applies automatic blocking, encryption, redaction, quarantine, deletion, or permission changes.
- Frictionless Deployment: Quick setup via API integrations, lightweight agents, and browser plugins—deployable in minutes.
- Self-Learning Intelligent Policies: Adapts dynamically to evolving data risks and user behaviors.
- Shadow AI Protection: Prevents data leakage to unauthorized or unapproved generative AI tools.
- Compliance Support: Meets HIPAA and other regulatory standards with tools like BAA compliance guides for Slack.
- Developer Platform Add-on: Extends DLP capabilities to custom applications and cloud infrastructure services.
- Dedicated Support & Success Manager: Available in Nightfall Complete for priority service and 1-hour SLA.
- Proof-of-Value Program: 7-day trial with a satisfaction guarantee—free security assessment if no risks are found.
- Extensive Integrations: Works with Slack, Google Drive, Gmail, Microsoft Teams, OneDrive, Exchange Online, SharePoint Online, Salesforce, Notion, Zendesk, Atlassian Jira, Confluence, GitHub, iCloud, Dropbox, Box, and major AI apps.
Pricing: Nightfall.ai offers transparent, value-based pricing with user-based plans and scalable add-ons priced annually. It includes a 7-day proof-of-value trial with a satisfaction guarantee, and custom plans are available. The platform provides a free security assessment if no meaningful risks are identified during the trial. Pricing tiers range from basic to enterprise-grade with Nightfall Complete offering premium support and dedicated services.
Conclusion: Nightfall.ai stands out as a powerful, intelligent, and future-ready DLP solution that combines AI precision with enterprise scalability, making it an essential tool for organizations navigating the complexities of data security in the age of generative AI.
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