Nightfall AI

Nightfall AI is a cloud-native data loss prevention (DLP) platform powered by artificial intelligence that helps organizations detect, classify, and protect sensitive data across their cloud applications and AI systems. Founded in 2019 and headquartered in San Francisco, California, Nightfall has built a modern approach to data security that leverages machine learning detection engines rather than traditional regex-based rules, resulting in significantly higher accuracy in identifying sensitive information such as PII, PHI, financial data, credentials, and secrets across diverse data formats and contexts. The platform integrates directly with popular SaaS and developer tools including Slack, Microsoft Teams, GitHub, GitLab, Confluence, Jira, Google Drive, and many others, providing real-time monitoring and automated remediation of sensitive data exposure. Nightfall's detection engine analyzes text, images, and files to identify over 150 types of sensitive data with high precision and low false positive rates. When sensitive data is detected, the platform can automatically redact, quarantine, alert, or notify based on configurable policies, enabling organizations to enforce data protection standards without disrupting workflows. Nightfall AI is particularly relevant to the AI security space because of its ability to protect against data leakage in AI and LLM-powered applications. As organizations increasingly integrate generative AI tools into their workflows, the risk of employees inadvertently sharing sensitive data through AI chatbots, copilots, and other LLM interfaces has become a critical concern. Nightfall provides monitoring and protection for these AI interaction channels, ensuring that confidential information is not exposed through prompts or shared with third-party AI providers. The platform offers a freemium pricing model with a free tier for individuals and small teams, making it accessible for evaluation and smaller deployments. Enterprise tiers provide advanced features including custom detectors, automated workflows, API access, and compliance reporting. Nightfall is SOC 2 Type II certified and aligns with GDPR, HIPAA, CCPA, and PCI-DSS requirements. While Nightfall's primary focus is on data security rather than AI-specific security threats like adversarial attacks or model tampering, its AI-powered DLP capabilities are highly relevant for organizations looking to secure the data flowing through their AI applications and prevent sensitive information leakage.