Nightfall Data Security

Nightfall Data Security is a cloud-native sensitive data discovery, classification, and protection platform engineered to protect confidential corporate information, personally identifiable information (PII), protected health information (PHI), and secrets across enterprise SaaS platforms and modern cloud architectures. Operating entirely via agentless cloud APIs, Nightfall provides continuous data protection without requiring network proxies or hardware appliances.

The platform connects directly to enterprise SaaS tools—including Slack, Jira, GitHub, Google Workspace, and Confluence—to continuously scan messages, tickets, comments, and file attachments for sensitive data. Key technical capabilities include machine-learning-driven entity classification, automated discovery of sensitive data at rest and in transit, automated remediation actions (such as automated message redaction, quarantine, and file permission revocation), customizable risk scoring, and detailed compliance audit logging. Because it relies on AI rather than brittle regular expressions, Nightfall drastically minimizes false alarms.

Enterprises in healthcare, fintech, and digital commerce implement Nightfall Data Security to maintain continuous visibility into sensitive data movement across cloud collaboration channels. It integrates smoothly with Okta, Microsoft Entra ID, Splunk, and ServiceNow. Common operational use cases include detecting customer credit card numbers shared in customer support tickets, identifying exposed social security numbers in internal chats, securing developer collaboration repositories, and maintaining continuous compliance with HIPAA, GDPR, and SOC 2 requirements.