Nightfall AI
Nightfall AI is a comprehensive, AI-native data security platform that protects sensitive data across SaaS apps, generative AI tools, email, and endpoints using machine learning.
https://www.nightfall.ai/
Product Information
Updated:Jul 16, 2025
Nightfall AI Monthly Traffic Trends
Nightfall AI achieved 97,277 visits with a 33.8% growth in the latest month. The 2024 SC Award for Best Data Security Solution and the launch of its Firewall for AI to protect interactions with generative AI applications and large language models likely contributed to this increase. The platform's ability to prevent sensitive data exposure and ensure compliance with regulations like HIPAA and ISO 27001 has attracted significant attention.
What is Nightfall AI
Nightfall AI is an industry-leading cloud data loss prevention (DLP) platform designed for the AI era. It integrates directly with cloud applications and data infrastructure to discover, classify, and protect sensitive information. Nightfall uses artificial intelligence and machine learning to identify and safeguard business-critical data like customer PII, credentials, and secrets across an organization's SaaS ecosystem, custom apps, and data flows. The platform offers pre-built integrations for popular cloud apps like Slack, GitHub, Google Drive, and Salesforce, as well as the ability to integrate with any application via its Developer Platform.
Key Features of Nightfall AI
Nightfall AI is a comprehensive, AI-native data security platform that protects sensitive data across SaaS applications, generative AI tools, email, and endpoints. It uses machine learning to discover, classify, and protect business-critical data like PII, PHI, PCI, and secrets. The platform offers features such as data loss prevention, data exfiltration prevention, encryption, and AI data governance, integrating seamlessly with popular enterprise apps to provide real-time monitoring and automated remediation.
AI-powered detection engine: Utilizes over 100 machine learning detectors to accurately classify and protect various types of sensitive data, reducing false positives and eliminating the need for manual tuning.
Cloud-native integration: Integrates directly with enterprise apps and devices without impacting network performance, enabling secure AI-driven productivity.
Automated remediation: Takes immediate action to redact, delete, quarantine, or encrypt sensitive data, reducing incidents through rapid response.
Human firewall: Empowers end-users to fix data exposure issues directly from chat or email, fostering a proactive cybersecurity culture.
API-driven architecture: Delivers the entire detection engine as an API, allowing integration with SIEMs, ticketing systems, and other security workflows to increase SOC efficiency.
Use Cases of Nightfall AI
Prevent secrets sprawl: Detect and remediate secrets, passwords, and credentials shared in insecure locations like Slack or GitHub, enabling safe sharing through encryption.
Data exfiltration prevention: Monitor and take immediate action on sensitive data that's inadvertently or maliciously transferred across the organization.
Safeguard personal information: Accurately identify and protect PII, PCI, and PHI to maintain compliance and ensure data privacy across all platforms.
AI data governance: Protect sensitive data from unauthorized use in AI model building and consumption, enabling responsible AI practices.
Secure communication: Automatically encrypt sensitive data in outbound communications, reducing the risk of data leaks without burdening the sender.
Pros
High accuracy in detecting sensitive data across various formats and applications
Easy integration with popular SaaS and AI tools
Empowers end-users to participate in data security
Flexible API-driven architecture for custom security workflows
Cons
May require initial setup and policy configuration
Potential learning curve for organizations transitioning from legacy DLP solutions
Pricing information not readily available, may be a consideration for smaller businesses
How to Use Nightfall AI
Sign up for Nightfall AI: Go to app.nightfall.ai/sign-up to create a Nightfall account or request a demo at nightfall.ai/demo
Choose integrations: Select which apps and services you want to integrate with Nightfall, such as Slack, GitHub, Google Drive, etc.
Configure detection policies: Set up policies to detect sensitive data like PII, credentials, etc. using Nightfall's pre-built detectors or custom rules
Enable monitoring: Turn on real-time scanning of your integrated apps and services to detect sensitive data
Set up alerts and actions: Configure how you want to be notified of policy violations and what automated actions to take (e.g. redact, delete, quarantine)
Review dashboard: Use the Nightfall dashboard to view detected incidents, trends, and analytics
Remediate issues: Take action on detected policy violations, either manually or through automated workflows
Refine policies: Continuously improve detection accuracy by tuning policies based on results
Nightfall AI FAQs
Nightfall AI is a cloud data protection platform that uses machine learning to identify and protect sensitive data across SaaS applications, emails, and custom apps. It helps discover, classify and secure PII, PCI, PHI and other business-critical data.
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Analytics of Nightfall AI Website
Nightfall AI Traffic & Rankings
97.3K
Monthly Visits
#383556
Global Rank
#717
Category Rank
Traffic Trends: Jul 2024-Jun 2025
Nightfall AI User Insights
00:00:40
Avg. Visit Duration
1.73
Pages Per Visit
44.8%
User Bounce Rate
Top Regions of Nightfall AI
US: 18.84%
IN: 7.31%
GB: 3.92%
AU: 3.46%
CA: 3.45%
Others: 63.01%
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