Nightfall / nightfall.ai
AI-native cloud data loss prevention (DLP) platform that detects and protects sensitive data (PII, secrets, PHI, credentials) across SaaS applications, cloud storage, and developer tools using machine learning.
Pricing
Free
Free plan
No
Category
Developer Tools
Platforms
2
Free plan
No
API access
No
Open source
No
Platforms
2
Nightfall is a cloud-native DLP platform built specifically for the SaaS and cloud environment — scanning for sensitive data across Slack, GitHub, Google Drive, Jira, Confluence, Zendesk, and other cloud tools where traditional network DLP cannot reach. Unlike legacy DLP that monitors network traffic, Nightfall connects directly to SaaS APIs to inspect content at rest and in transit within cloud applications.
AI-powered data classification uses ML models rather than regex patterns to identify sensitive data types — PII (names, addresses, SSNs), financial information (credit card numbers, bank accounts), credentials (API keys, passwords, private keys), PHI (protected health information), and custom sensitive data types. ML classification is more accurate than regex for detecting sensitive data in varied formats and contexts.
Real-time scanning triggers when content is created or modified in connected applications — detecting a developer committing an API key to GitHub, a support agent sharing a customer's credit card number in Slack, or a healthcare employee uploading PHI to Google Drive. Immediate detection enables immediate remediation rather than discovering violations in periodic batch scans.
Nightfall Firewall for AI specifically targets AI usage — scanning content being sent to LLM APIs (ChatGPT, Claude, etc.) to prevent employees from inadvertently sharing sensitive data with AI models. As enterprise AI usage grows, DLP for AI inputs is increasingly critical.
Nightfall AI runs as ml platform software built around text and data workflows. Users typically start with a prompt, upload, or connected data source, and the underlying model handles the heavy lifting before returning a result you can refine or export. It's available on web and api.
The capabilities that matter most for teams evaluating Nightfall AI.
ML models identify sensitive data types (PII, PHI, credentials) in varied formats and contexts — more accurate than regex patterns that miss format variations.
Detects sensitive data violations when content is created or modified in connected cloud tools — enabling immediate remediation rather than periodic batch audit discovery.
Inspects content sent to LLM APIs detecting sensitive data before it reaches AI models — addressing the growing risk of employees inadvertently sharing confidential information with AI.
Enterprise licensing. No public pricing. Annual contracts. Free trial available.
Model
Enterprise
Starting price
Free
Free trial
Yes
Symantec DLP and Forcepoint provide traditional network DLP. Microsoft Purview provides DLP within Microsoft 365. Metomic provides SaaS DLP for Slack and Google Workspace specifically. Data Theorem provides API security alongside DLP.
A side-by-side look at the closest alternative in this category.
Key facts about model providers, platforms, and team support.
Model Provider
Nightfall
Platforms
Web, API
Deployment
SaaS
Integrations
Slack, GitHub, Google Drive, Jira, Confluence, Zendesk, Salesforce, API
Team Collaboration
No
Launch Year
2022
Compliance signals and data-handling notes as reported by the vendor.
SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. FedRAMP eligible. Enterprise data handling agreements.
Data scanned for classification is processed on Nightfall's infrastructure under strict security controls. Data is not retained beyond what is required for classification. Review Nightfall's security documentation.
Editorial Verdict
Nightfall is the best AI cloud DLP platform for organisations wanting to detect sensitive data across SaaS applications and secure AI usage by preventing LLM inputs from containing sensitive information.
Last verified July 24, 2026.
Enterprise licensing. No public pricing. Annual contracts. Free trial available.
Tenable Vulnerability Management cloud pricing from ~$7,000/year for 300 assets (estimate). Enterprise custom. 30-day free trial.
SOC 2 Type II. ISO 27001. GDPR compliant. HIPAA eligible. FedRAMP eligible. Enterprise data handling agreements.
SOC 2 Type II. ISO 27001. GDPR compliant. FedRAMP authorised. Enterprise security certifications.
Data scanned for classification is processed on Nightfall's infrastructure under strict security controls. Data is not retained beyond what is required for classification. Review Nightfall's security documentation.
Review Tenable's data handling policy. Vulnerability scan results and asset data processed on Tenable's infrastructure.
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