Nightfall AI

What is Nightfall AI?

Nightfall AI is an AI-native data security platform that protects sensitive information across SaaS applications, GenAI tools, email, and endpoints. It detects security risks proactively, protects data in transit and at rest, and offers automated remediation so users can resolve data exposure issues themselves. The platform scans unstructured and archived data, integrates with a company’s existing apps and devices, and monitors risky content and behavior. Teams can configure flexible policies and let the platform protect data automatically, maintaining control of sensitive information without disrupting workflows.

Who created Nightfall AI?

Nightfall was founded by a team of four: Isaac Madan (Co-Founder and CEO), Rohan Sathe (Co-Founder and Chief Technology Officer), Rick Wootten (Chief Marketing Officer), and Ajay Bhave (VP of Engineering).

What is Nightfall AI used for?

Nightfall AI covers several core data security use cases:

• Stopping secret sprawl: Prevents API keys, passwords, and other secrets from being scattered across systems.
• Preventing data exfiltration: Stops sensitive data from leaving the organization without authorization.
• Safeguarding personal information: Protects personally identifiable information (PII), payment card information (PCI), and protected health information (PHI).
• AI data governance: Manages how data is used with AI tools to maintain compliance and security.
• Handling external threats: Adds a layer of defense against threats originating outside the organization.
• Real-time detection: Identifies suspicious files and messages as they occur, including exposed credentials and secrets.
• Custom detection rules: Supports rules tailored to an organization’s specific needs, paired with automated remediation workflows to resolve issues when they’re found.

Who is Nightfall AI for?

Nightfall AI is built primarily for security teams responsible for an organization’s overall security posture and IT teams that manage technology infrastructure. It also suits specialized security groups in larger organizations that need robust, AI-driven data protection.