Nightfall emerges from stealth with $20M for a cloud-native data loss prevention platform
Sensitive data leakage is one of the biggest negative side-effects of cloud-based apps and services. Today, a startup that has built an AI-based platform that can detect and take action on that data is coming out of stealth with funding to tackle the issue head-on. Nightfall — which integrates with and then automatically scans structured and unstructured data that appears in apps like Slack, GitHub, AWS and hundreds more for sensitive information, which it then acts to secure — is launching publicly today with $20.3 million in funding.
Nightfall’s CEO Isaac Madan said the startup will use the money to expand the scope of what it can detect and where, and to build out its business overall. The company bills itself as the industry’s first cloud-native data loss prevention platform and while in stealth it started out working with high-growth startups like Grofers and Exabeam, later expanding its customer base to Fortune 500 companies.
The company originally launched as Watchtower AI — a name that Madan, who co-founded the company with Rohan Sathe, said was changed to reflect the expanded scope of the company, not just identifying unstructured data but being able to take actions on it. It had raised
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