Nightfall AI is a next-generation data loss prevention (DLP) platform designed to help organizations automatically detect and remediate sensitive data risks across SaaS applications, cloud workspaces, generative AI tools, and endpoints. Nightfall AI centralizes visibility and security controls, allowing companies to protect personally identifiable information (PII), protected health information (PHI), payment card information (PCI), secrets, and keys across a broad range of business-critical applications.
How does Nightfall AI work?
Nightfall AI integrates with popular SaaS platforms and productivity tools—including Slack, GitHub, Confluence, ChatGPT, Google Drive, and Microsoft OneDrive—via APIs, enabling rapid deployment and coverage in minutes. Its AI-powered detection engine continuously scans for sensitive data exposure and automates remediation workflows, helping organizations enforce compliance wherever employees work.
Key features include:
- Real-time alerts and automated incident response
- Historical scans to uncover existing data risks
- Security workflows for consistent policy enforcement
- Data lineage tracing to understand exposure paths
- End-user security training
- Dozens of pre-built detection templates for common data types
Who uses Nightfall AI?
Nightfall AI primarily serves mid-sized to large organizations looking to secure sensitive data across their digital environments. Customers span industries such as healthcare, technology, financial services, and SaaS. Notable companies using Nightfall AI include Oscar Health, Splunk, Exabeam, Amount, UserTesting, Galileo, Klaviyo, Calm, Genesys, Acquia, Snyk, Deputy, CapitalRx, and many others.
How was Nightfall AI started?
Nightfall AI was founded in San Francisco by a team with deep backgrounds in SaaS, AI, cybersecurity, and cloud infrastructure. Co-founder and CEO Isaac Madan previously focused on SaaS and security investments at Venrock. Rohan Sathe, the other co-founder and CTO, led backend engineering and machine learning initiatives at UberEats. The leadership team includes professionals with decades of experience in cybersecurity, engineering, finance, and product management at companies like Microsoft, TrustWave, Mandiant, Rubrik, and Druva. More about their journey can be found on their About page.
What makes Nightfall AI different?
Nightfall AI stands out for its broad integration coverage, AI-driven detection engine, and automated security workflows, all managed from a single dashboard. The platform is designed to be easy to deploy and scale, giving security teams comprehensive oversight and control with minimal manual effort.
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