Nightfall: The Agentic Data Loss Prevention Platform

Nightfall is the agentic, all-in-one data loss prevention (DLP) platform that uses AI to prevent data leaks, get visibility into data flows, and stop data exfiltration across SaaS, gen AI apps, endpoints, and more.

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Case Study: How Unit21 Stops Data Leakage to Shadow AI\
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Prevent data leaks with AI

Nightfall helps you put data loss prevention on autopilot across AI apps, endpoints, and SaaS — so you can stop insider threat, coach safer behavior, and cut alert noise.

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Helping everyone from startups to Fortune 500 enterprises protect their data

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Yesterday's rules can't stop ‍today's risks

With the adoption of AI and the rise of remote work, sensitive data has become hard to trace and protect. Legacy endpoint DLP, insider threat, and CASB solutions are noisy, slow to deploy, and painful to maintain. They create coverage gaps and erode user productivity that gets in the way of the business. So, we rebuilt DLP from the ground up to address the needs of the modern workplace.

Stop Data Exfiltration Anywhere

Track and block sensitive data from leaving your organization via Shadow AI & SaaS apps, browsers, email, desktop apps, removable media.

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Eliminate Sensitive Data Exposure

Keep sensitive data such as non-human identities (NHIs), PHI, PCI, and PII from entering applications like Slack, Microsoft 365, Google Workspace, GitHub, Salesforce, and more.

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Revoke Inappropriate Data Sharing

Automatically revoke over-permissioned sharing of sensitive data from applications like Google Drive and OneDrive.

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Prevent Data Leakage to Shadow AI

Prevent intellectual property from entering unauthorized web and desktop based AI applications via prompts, file uploads, and copy/paste.

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The agentic, all-in-one data loss prevention platform

Data Exfiltration Prevention

Trace and block sensitive data from leaving your organization across both managed and unmanaged devices

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Data Detection & Response

Automatically stop sensitive data sharing & exposure like NHIs, PHI, PCI, and PII across SaaS and Gen AI in realtime

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Data Discovery  & Classification

Discover and remediate sensitive data sharing exposure like NHIs, PHI, PCI and PII across SaaS and GenAI at rest

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Nyx: Your 24/7 agentic DLP analyst

Nyx is the only AI-powered DLP analyst with the investigative judgment of an expert analyst, the business context of a co-worker, and the tools to intervene and shape behavior before data gets exposed.

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What makes Nightfall different

AI + Context

LLM & behavioral powered models deeply understand sensitivity of content and trace the data's full journey, leveraging context and giving you the whole picture in a way that no other solution can.

Holistic Coverage

Complete coverage across SaaS apps, Gen AI apps, Endpoints, and Browsers so you eliminate blindspots and patchwork solutions.

Frictionless Deployment & Maintenance

API based integrations, lightweight agents, and browser plugins deployable in minutes with intelligent policies that self-learn and don't block the business.

Streamlined SecOps

Delightfully simple user experience to quickly understand exposure and user intent and reclaim time spent on investigations.

Human Firewall

Involve and coach end users to self-remediate, learn best practices, and take the burden off SOC teams.

data-srcv

Why Nightfall

Meet Nyx, your agentic DLP analyst

Nyx investigates incidents. Follow Nyx through a complete investigation of sensitive data exposure and exfiltration. See how autonomous intelligence transforms security operations.

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Mass Corporate IP Exfiltration 02\
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Shadow AI Exposure of API Keys 03\
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Sophisticated Email Exfiltration Campaign

Meet Nyx

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Mass Corporate IP Exfiltration

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Shadow AI Exposure of API Keys

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Sophisticated Email Exfiltration Campaign

Innovators choose AI-powered DLP to protect their data

Testimonial\
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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\
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Staff Security Engineer at Snyk

80% Automated Remediation

Four in five incidents resolved through automation or employee self-remediation, dramatically reducing security team workload. Analysts tackle what matters.

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If we didn't have Nightfall, we would need a full-time data auditor. That's headcount that we don’t have. Nightfall allows us to creatively solve our data security challenges.\
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Chris Chipman\
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Enterprise IT Architect at ZenBusiness

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6x Average ROI\
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Save time and money with AI-based detection, investigation, and response.\
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Estimate Your Savings Testimonial\
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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\
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Head of Security at Unit21

95% Precision

Eliminate alert fatigue with industry-leading detection accuracy that identifies real threats while reducing false positives.

10x Lower TCO

Achieve greater protection at a fraction of the cost through reduced false positives, faster deployment, and minimal maintenance overhead.

Chris Chipman

Enterprise IT Architect at ZenBusiness

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David Patrick

Director of Security and Compliance at Neural Payments

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Pierre Lazarus

Technical Operations Manager at Telnyx

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FAQs

What is Nightfall, and how does its technology work?

Nightfall is the AI-native DLP platform that prevents sensitive data exposure and exfiltration across SaaS, endpoints, email, browsers, and AI apps. At our core are 100+ AI-based models, LLM based file classifiers and Computer Vision models that classify content with 95% accuracy - far surpassing legacy solutions stuck at 5-25%. We combine content inspection with AI-based data lineage tracking that traces information from source to destination, understanding risk based on context, not just content patterns. API-based SaaS integrations deploy in minutes, while lightweight endpoint agents and browser plugins provide comprehensive coverage without disrupting productivity. Our platform learns continuously, automatically improving detection and reducing false positives over time.

Which problems does Nightfall solve better than legacy DLP?

Nightfall eliminates the three critical failures plaguing legacy DLP: detection blind spots, operational overload, and deployment friction. While legacy solutions rely on basic pattern matching with 5-25% accuracy and require months of tuning, Nightfall's AI-based detectors, LLM based file classifiers and Computer Vision models deliver 95% accuracy out-of-the-box. Our AI-based data lineage traces data from source to destination, determining risk regardless of content transformation - catching sophisticated exfiltration risks that bypass traditional regex rules. You can deploy Nightfall in hours via API integrations across SaaS apps like Microsoft 365, Google Workspace, Atlassian, Salesforce, Slack, Zendesk, Notion, endpoint agents on macOS and Windows, browser plugins, and any AI app, with zero productivity impact and no single points of failure.

How does Nightfall stop data leakage?

Nightfall combines AI-powered content classification with intelligent data lineage to stop data loss before it happens. Our platform continuously monitors data movement across SaaS apps, endpoints, email, browsers, and Shadow AI apps, classifying sensitive content including secrets & credentials, PHI, PCI, and PII with 95% precision. Additionally, Nightfall also supports LLM powered file classifiers - pre-trained models that identify sensitive document types based on structure, layout, and semantic meaning, not just keywords or entity matches. These file classifiers classify data across categories such as Financial Statements & Revenue Reports, Internal Source Code & Engineering Artifacts, HR Records & Personnel Files, Contracts, NDAs, and Legal Agreements, Product Roadmaps & R&D Specifications, Tax Filings, Audit Docs, and Compliance Records. When risky behavior is detected, Nightfall automatically enforces context-aware policies: blocking high-risk exfiltration to unauthorized destinations, redacting sensitive information in SaaS apps, revoking inappropriate access permissions, blocking, deleting, quarantining or encrypting risky data - all while maintaining visibility and allowing legitimate business workflows to proceed unimpeded.

How can I secure AI tool usage?

Nightfall provides comprehensive Shadow AI security across any generative AI app including ChatGPT, Copilot, Gemini, Deepseek, Claude, Perplexity and more. Our browser plugins and endpoint agents monitor AI interactions in real-time, intercepting sensitive data before it reaches AI platforms. Nightfall automatically blocks secrets, credentials, PHI, PCI, or other confidential information via file uploads or clipboard copy/paste actions. Unlike solutions that discover Shadow AI usage after the fact, Nightfall prevents data leaks at the moment of interaction, enabling your teams to innovate safely with AI while maintaining complete control over intellectual property and regulated data.

What types of insider risks can Nightfall detect?

Nightfall detects malicious insiders deliberately stealing data, opportunistic insiders collecting sensitive information over time for later misuse, and negligent insiders accidentally exposing data through policy violations. Our AI-powered platform identifies unusual download patterns, unauthorized data movement to personal devices or domains, suspicious file exfiltration over days or weeks, and sophisticated exfiltration attempts across multiple channels simultaneously. Data lineage tracking provides complete visibility into the origin, journey, and destination of sensitive information, enabling accurate detection of threats that unfold gradually. LLM-powered risk scoring distinguishes between routine business activity and true threats, dramatically reducing false positives while ensuring real insider risks don't slip through.

Can Nightfall prevent data leaks to AI tools like ChatGPT?

Yes. Nightfall is purpose-built to prevent data leaks to any AI app including ChatGPT, Copilot, Gemini, Deepseek, Perplexity, Claude, and Grok. Our browser plugins and endpoint agents monitor AI interactions in real-time, analyzing prompts and file uploads before they reach AI platforms. When sensitive content is detected - including secrets, credentials, PHI, PCI, PII, or confidential documents - Nightfall automatically blocks information from prompts, blocks unauthorized file uploads and clipboard copy/paste. Data lineage tracking maintains visibility even when information is copied, pasted, or transformed, ensuring no sensitive data slips through. Unlike legacy DLP blind to browser-based AI usage, Nightfall provides comprehensive Shadow AI security without blocking innovation.

Is deployment disruptive to existing workflows or users?

Nightfall deployment is designed for zero disruption. API-based SaaS integrations deploy in minutes through simple OAuth connections - no network architecture changes, no productivity impact. Our lightweight macOS and Windows endpoint agents install via MDM with minimal system footprint. Policies work out-of-the-box with 95% accuracy, eliminating the months of tuning legacy solutions demand. When sensitive data is detected, we provide real-time user education through Slack, Teams, or email notifications, coaching employees rather than blocking them. Our Human Firewall approach enables self-remediation, transforming security from a barrier into an enabler while maintaining comprehensive protection across your entire organization.

What integrations are available with existing security tooling?

Nightfall integrates seamlessly with your existing security ecosystem through flexible alerting and SIEM/SOAR connectivity. Send customized violation alerts directly to Slack, Microsoft Teams, Jira, or email with complete context including user details, content snippets, violated policies, and recommended remediation actions. Connect with identity providers including Okta, Entra ID, and Google Directory for synchronized user-based policies targeting high-risk users, user groups. Our platform works alongside your MDM solutions for streamlined endpoint agent deployment. For organizations requiring centralized security operations, Nightfall provides comprehensive audit logs and violation data that integrate with your SIEM platform, ensuring threat intelligence flows into your existing security workflows without requiring teams to learn new systems.

How quickly can we see value with Nightfall after implementation?

Value begins immediately. SaaS integrations complete in under one hour via API connections. Your first data scan can reveal hundreds or thousands of previously unknown violations - exposing blind spots in legacy tools within 24 hours. Endpoint deployment via MDM reaches full coverage across macOS and Windows devices within a week. Policies work out-of-the-box with 95% accuracy, eliminating weeks of tuning time. Most customers achieve comprehensive protection across their entire SaaS environment, endpoints, and AI tools in under one month. Typical POC timelines run two weeks from kickoff to wrap-up, providing complete assessment of detection accuracy, coverage breadth, and operational fit. Organizations generally see 6x ROI within the first 90 days.

Can Nightfall replace my existing DLP and insider risk tools?

Yes. Nightfall consolidates legacy point solutions into a unified AI-powered platform. Unlike traditional DLP operating in silos with gaps between SaaS, endpoint, email, and browser coverage, Nightfall provides complete visibility across your entire data environment in one solution. We combine real-time data detection and response, exfiltration prevention, and data discovery and classification with AI-powered insider risk detection - eliminating the operational complexity of maintaining separate tools. Customers consolidate 3-5 security solutions, reducing vendor sprawl and total cost of ownership while actually improving protection. With 95% out-of-the-box accuracy, unified policy management, and investigations up to 5× faster, Nightfall delivers superior security outcomes with dramatically lower operational overhead than stitching together multiple legacy tools.