Nightfall AI
About
Nightfall AI provides a data loss prevention (DLP) and insider risk management platform built for environments that include AI agents, SaaS applications, endpoints, and email. It serves organizations ranging from startups to Fortune 500 enterprises across industries such as healthcare, financial services, legal, and technology. The platform uses pre-trained AI models to detect and prevent sensitive data exposure without requiring months of policy tuning.
Technology Categories
Details
VenSearch Intelligence
Ideal Customer
- Nightfall targets security teams at organizations ranging from Series A startups to Fortune 500 enterprises, with the company's own pricing page describing the typical buyer as a CISO or Director of Security Operations at an organization with 250 to over 100,000 users.
- Multiple third-party analyses identify its core sweet spot as mid-market to enterprise organizations with 300 or more employees operating in heavily regulated industries such as healthcare, financial services, and technology.
Key Differentiators
- Nightfall positions itself as an AI-native DLP platform built from the ground up on machine learning rather than retrofitted from legacy rule-based approaches, claiming its GenAI detection is twice as precise and produces four times fewer false-positive alerts than embedded DLP tools from Google, Microsoft, and AWS.
- The platform's stated 95% detection precision across pre-trained classifiers for PII, PHI, PCI, credentials, and source code is a consistent selling point, with OCR and computer vision included at no additional configuration cost.
Industries Served
- Nightfall serves customers across financial services, healthcare, insurance, education, technology, retail, and related regulated sectors.
- Its detectors and compliance mappings are specifically built to address HIPAA (healthcare and life sciences), PCI DSS (financial services and payments), GLBA, GDPR, CCPA, and state privacy laws.
Service Coverage
- Nightfall AI is headquartered in San Francisco, California and operates as a cloud-native platform available globally.
- Its customer base spans organizations across the globe, and the company has employees distributed across five continents including North America, Asia, and Africa.
Partnerships
- Nightfall maintains technology integrations with platforms including Slack, Google Workspace, Microsoft 365, GitHub, Salesforce, Zendesk, Jira, Confluence, Notion, and Asana, and is listed on the AWS Marketplace.
- On the AI side, the company expanded its integration with Anthropic's Claude Compliance API in September 2026, covering Claude Enterprise and Claude Platform deployments, and is listed by Anthropic as a Claude compliance integration partner.
Company Size
- Nightfall was founded in 2018 in San Francisco as Watchtower AI by co-founders Isaac Madan and Rohan Sathe, then publicly launched under its current name in November 2019.
- The company has approximately 113 to 118 employees as of mid-2026 according to multiple data aggregators, down from a peak of roughly 120 in 2023.
Ownership
- Nightfall AI is privately held and venture capital-backed.
- The company has raised a total of approximately $60.3 million across three rounds: a seed round in 2018, a $20.3 million Series A in November 2019 led by Bain Capital Ventures and Venrock, and a $40 million Series B in August 2022 led by WestBridge Capital with participation from Next Play Capital, Bain Capital Ventures, Venrock, and Pear VC.
Compliance & Certifications
- Nightfall holds SOC 2 Type 2 certification, which it achieved as the first cloud-native DLP vendor to complete this audit, and its platform is commonly used by customers to support their own HIPAA compliance programs.
- Third-party vendor security profiles also list the company as GDPR compliant, ISO 27001 compliant, PCI compliant, and FedRAMP compliant, though Nightfall's own public security page explicitly confirms only its SOC 2 Type 2 status.
Compiled from public sources by VenSearch · Last researched October 20, 2026
Offerings
9 offeringsAI Security — Agents, MCP & Employee AI Use
This product governs how AI agents, Model Context Protocol (MCP) servers, and employees interact with corporate data. It includes an MCP Gateway that approves or blocks tool calls by policy, Inference Hooks that inspect prompts and tool responses inside Claude sessions in real time, prompt injection interception, and shadow AI prevention that blocks corporate data from reaching personal or unmanaged AI tools.
Data Discovery & Classification
This product scans SaaS applications including Slack, Microsoft 365, Google Workspace, GitHub, and Salesforce via direct API integrations to find sensitive data such as PII, PHI, PCI, and secrets stored across years of history. Pre-trained AI models including OCR and computer vision classify content with stated 95% accuracy and no tuning required. Automated bulk remediation actions such as redaction, deletion, or sharing revocation can be applied across thousands of findings.
Data Exfiltration Prevention
This product uses lightweight endpoint agents and browser plugins to monitor and block sensitive data from leaving an organization across channels including browser uploads, AI prompts, personal cloud sync, USB transfers, and email. It provides forensic session replay, AI-powered data lineage tracing from origin to destination, and real-time employee coaching when a policy violation is detected. It covers macOS, Windows, Chrome, Firefox, Safari, and Edge without requiring network changes.
Eliminate Sensitive Data Exposure (Use Case Solution)
This solution focuses on detecting and protecting sensitive PHI, PCI, PII, secrets, and credentials across SaaS applications using direct API integrations with platforms like Slack, Google Drive, Gmail, Jira, Confluence, Microsoft 365, Salesforce, Zendesk, and Notion. AI-powered detectors with stated 95% precision classify content without requiring manual tuning and apply automated actions such as blocking, redacting, quarantining, or encrypting data. Employees receive contextual in-app notifications to self-remediate violations or provide business justification.
MCP Security (MCP Gateway)
This product provides enterprise security controls specifically for Model Context Protocol (MCP) servers and AI agentic workflows. It automatically discovers and catalogs all MCP servers across developer tools like Claude Desktop, Cursor, and VS Code, proxies every tool call through a gateway where policies are enforced, and provides a curated registry that blocks unapproved servers by default. Sensitive data returned by tool calls is sanitized in-flight and full audit logs are retained for compliance and forensic review.
Nyx — Agentic DLP Analyst
Nyx is an AI-powered analyst embedded in the Nightfall console that investigates data security incidents using natural language conversation. It identifies suspicious behavioral patterns across users, devices, and destinations, connects relationships between events to surface coordinated exfiltration attempts, and recommends or executes response actions such as disabling accounts or blocking file uploads. It operates as a 24/7 autonomous investigation layer that reduces manual triage workload for security operations teams.
Prevent Data Leakage to Shadow AI (Use Case Solution)
This solution uses a browser plugin to monitor what employees type or upload into AI applications such as ChatGPT, Deepseek, Copilot, Gemini, and Perplexity before submission. It intercepts file uploads originating from corporate SaaS apps, automatically redacts sensitive content from prompts rather than blocking the entire prompt, and tracks clipboard copy-paste actions to AI tools. Deployment is handled via Chrome Enterprise or MDM and the plugin supports real-time coaching to redirect employees to approved enterprise AI services.
Revoke Inappropriate Data Sharing (Use Case Solution)
This solution discovers and remediates inappropriate document sharing permissions across SaaS applications including Google Workspace, Microsoft 365, Slack, GitHub, Confluence, and Salesforce. It performs comprehensive historical audits of document permissions and continuously monitors for new risky sharing events such as files shared with personal accounts, former employees, or the public internet. Automated bulk remediation can change public links to private, revoke ex-employee access, or update sharing settings across entire shared drives.
Stop Data Exfiltration Anywhere (Use Case Solution)
This solution addresses data exfiltration across all egress vectors including SaaS applications, shadow AI tools, browsers, and endpoints using lightweight endpoint sensors and browser plugins. It includes data lineage tracking that traces data from origin to destination across all user actions, real-time detection of suspicious download and transfer patterns, and policy-based automation that can block, redact, quarantine, or coach employees. Forensic investigation workflows are supported with LLM-powered risk scoring and complete content lineage.
Considering Nightfall AI?
Our team will work with you to determine if Nightfall AI is the right fit for your organization. From research and assessment through procurement negotiation and ongoing vendor management — we handle the entire process at no cost to you.