Nightfall announces expanded integration with Claude Compliance API
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AI Moves Your Data.

Nightfall Controls It.

Control data movement across AI agents, MCP servers, endpoints, and SaaS, without slowing innovation.

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Securing data for the world’s most innovative organizations including 10% of the Forbes Top 50 AI Companies:
What is Different Now

AI Agents Changed

Data Security Forever

For years, data security assumed a person was moving the data. Now an agent can autonomously pull from Salesforce, query a database, read a local file, call an MCP tool, summarize the result, and send it somewhere else, all before a security team has a chance to ask what happened.

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Legacy tools see pieces of the event. Nightfall sees the decision, and sits in front of it.

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Tool call returns PII

Tool call returns PIISalesforce response classified in-flight, before the agent uses it.

Destination outside policy

Send blocked, full lineage retained for investigation.

The Nightfall Platform

One Complete Platform for

Every Way Data Moves

Protect data across all systems, human and agent, and the investigations that connect them. Nightfall gives security teams one intelligent platform to discover risk, prevent exposure, and respond with context, across AI agents, MCP servers, endpoints, SaaS, and e-mail.

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AI Security

Secure AI agents and employee AI use, MCP servers, tool calls, and prompts included.

  • AI agent and MCP governance
  • Prompt injection interception
  • Shadow AI prevention
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Data Security

Secure AI agents and employee AI use, MCP servers, tool calls, and prompts included.

  • Exfiltration prevention with lineage
  • Discovery and classification
  • Real-time detection and response
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Security Operations

Turn data-security events into actionable investigations, with the full story attached.

  • Nyx, the autonomous DLP analyst
  • Insider risk investigations
  • Automated remediation workflows
AI Agent Security

Control How AI and

Agents Move Data

Secure AI agents and employee AI use, MCP servers, tool calls, and prompts included.
  • AI agent and MCP governance - approve the servers you need, block the rest by default, enforce policy on every tool call - catch instructions hidden in tool responses before they reach the model
  • Prompt injection interception - detect and block malicious instructions hidden in prompts, files, and tool responses before they reach the model or hijack an agent
  • Shadow AI prevention - stop corporate data leaving through personal ChatGPT, unmanaged copilots, and browser AI tools
Data Security

Control How People

Move Data

SaaS, endpoint, and e-mail, covered end to end.
  • Exfiltration prevention with lineage - stop data leaving across every channel, with full traceability from origin to destination
  • Discovery and classification - find sensitive data already exposed across your SaaS before it becomes an incident
  • Real-time detection and response - catch and remediate risk as it happens, not after the fact
Investigation Intelligence

Turn Alerts Into Answers

Pre-trained detection meets real-time context, so every event ships with the full story attached, not just a flag.
  • AI Data Intelligence: pre-trained ML detectors and LLM classifiers for secrets, code, and customer PII
  • Dynamic Risk Scoring: AI-powered insider and agentic risk correlation across multi-hop activity
  • Zero-Config & AI Copilot: Day-1 "no-policy" visibility, with AI copilots for recommendations and triage
  • Full forensic context on every event: who, role, lineage, prior behavior

Where Legacy DLP Stops,

Nightfall Starts

01

Real-Time Prevention

Network DLP alerts at the perimeter. Legacy DLP monitors. DSPM scans data at rest. None of them intervene in real time on the device where the action is actually happening. Nightfall enforces inline, at the point of action, before data leaves.

02

Full-Stack Visibility

Local egress, unmanaged web, clipboard, USB, AI agent tool calls, local IDEs, these are all blind spots for network DLP, CASB, and AI gateways alike. They see traffic that crosses a proxy. Nightfall sees what's happening on the device and inside the agent, where most of this activity never touches a network boundary at all.

03

Zero-Tuning Deployment

Legacy DLP needs months of rule tuning before it's usable. DSPM needs 6+ months just to scan. File-Tracking DLP 2.0 creates enough friction to trigger IT tickets on its own. Nightfall's detection is pre-trained and deploys without a tuning cycle.

What our customers say

Hundreds of security teams run
on Nightfall

On trusting detections
Nightfall is reliable. When it says there’s a detection, we trust that detection. For people in my field, that’s a big factor. You don’t want to waste time chasing ghosts.
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Victor Sogaolu
Staff Security Engineer at Snyk
On safe AI adoption
We want to allow our folks to use the power of generative AI but in a safe and approved way. Nightfall gently redirects our people to the safe gen AI sites and helps us by blocking attempts from folks putting PII or customer data into ChatGPT and other tools.
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Jay Crumb
Head of Security at Unit21
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95%
Detection Precision
1 h
Live in one working hour
20x
Average ROI
Ready to get started?

From First Signal to Final Action.

Whether data is moved by a person, an AI application, or an autonomous agent, Nightfall brings the activity into one clear security story.

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