Nightfall AI, founded in 2018, builds a data loss prevention (DLP) platform designed around artificial intelligence and machine learning. The platform discovers, classifies, and protects sensitive data - including personally identifiable information (PII), payment card data (PCI), and intellectual property - across cloud environments, SaaS applications, generative AI tools, endpoints, and email. Unlike legacy DLP tools that rely on regex-based pattern matching, Nightfall uses machine learning models to improve detection accuracy and reduce the operational noise that security teams typically contend with.
The company's technical scope spans several domains: cloud security, SaaS security, endpoint security, email security, and the emerging challenge of securing generative AI tool usage within enterprises. This breadth reflects the increasingly fragmented landscape in which corporate data now moves. Nightfall's platform is designed to function with a high degree of automation - reducing the manual triage burden on security and compliance teams.
Nightfall's customers range from early-stage startups to Fortune 500 enterprises. The company is backed by Bain Capital Ventures and Venrock. Its founding team drew on direct experience with the limitations of conventional DLP approaches, having encountered those challenges at organisations such as Uber Eats.