Nightfall Secrets Detection

Nightfall Secrets Detection is an AI-powered credential and token leakage protection solution engineered to identify, prevent, and remediate exposed API keys, cryptographic tokens, passwords, private SSH keys, and certificates across enterprise SaaS applications, code repositories, and collaboration platforms. By utilizing machine-learning neural detectors, Nightfall eliminates up to 90% of the false positives associated with traditional regex secret scanners.

The solution connects via APIs to tools where developers and employees frequently share credentials—including GitHub, GitLab, Slack, Jira, Confluence, and Google Drive. Core platform capabilities include detection of over 100 distinct secret types (such as AWS access keys, GitHub personal access tokens, OpenAI API keys, and database connection strings), real-time message redaction upon token detection, automated token validity verification that tests whether exposed keys are live, and automated remediation workflows that notify security teams and token owners immediately.

Software engineering companies, cloud-first technology enterprises, and financial institutions deploy Nightfall Secrets Detection to stop credential harvesting attacks before malicious actors exploit exposed tokens. It integrates natively with Jira, PagerDuty, and corporate SIEM platforms. Common operational use cases include catching API tokens pasted into internal Slack troubleshooting channels, preventing developers from committing secrets in Jira tickets, finding dormant credentials in Confluence documentation, and maintaining continuous compliance with cybersecurity frameworks like SOC 2, ISO 27001, and PCI-DSS.