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Nightfall Unveils AI Browser Security Solution to Stop Data Exfiltration in Real Time

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NVDA Mentioned indirectly as a provider of AI technology that Nightfall's solution aims to secure, implying a growing market for AI infrastructure. MSFT Mentioned indirectly as a provider of AI technology (Copilot) that Nightfall's solution aims to secure, implying a growing market for AI infrastructure.

Browser-native interception blocks real-time data exfiltration to AI tools, encrypted web apps, and unmanaged cloud services

SAN FRANCISCO, Jan. 21, 2026 /PRNewswire/ -- Nightfall today announced the launch of its AI Browser Security solution, designed to stop real-time data exfiltration through AI tools, AI-powered browsers, and modern web workflows that legacy data loss prevention (DLP) solutions cannot see or control.

As employees increasingly rely on ChatGPT, Claude, Gemini, Copilot, and emerging AI-native browsers to analyze documents, debug code, and summarize business data, sensitive information is routinely exposed through browser-based uploads, clipboard pastes, screenshots, and autonomous agent interactions. Traditional DLP tools—built for email attachments, USB drives, and static pattern matching—lack visibility inside browsers and encrypted sessions, leaving organizations blind to their fastest-growing data loss vector.

Nightfall closes this gap with an AI-native security architecture that operates directly at the browser, endpoint, and SaaS layers—where modern exfiltration actually happens—enabling real-time prevention before sensitive data ever leaves the organization.

"AI browsers are fast becoming the primary data exfiltration channel inside the enterprise," said Rohan Sathe, CEO and co-founder of Nightfall. "Employees aren't bypassing security out of malice; they're pasting code, uploading spreadsheets, and sharing screenshots to get work done. Legacy DLP was never designed to see or understand those actions. Nightfall's AI-native browser security gives teams visibility and control at the exact moment data is shared."

Shadow AI Has Outpaced Legacy Security

Legacy security architectures were designed for a pre-AI world, where sensitive data moved through email, file transfers, and known SaaS applications. Today's workflows look very different:

Because traditional DLP relies on regex rules, network inspection, and after-the-fact alerts, these workflows often go undetected—until sensitive data has already left the organization.

Nightfall's AI-native approach was purpose-built to address these blind spots.

How Nightfall Protects AI-Native Workflows

Nightfall's AI Browser Security solution delivers comprehensive coverage across every major data exfiltration path:

AI-Powered Detection Built for Context, Not Patterns

All enforcement layers are powered by Nightfall's AI-native detection engine:

Unlike legacy DLP, Nightfall's detections are explainable, adaptive, and enforced in real time—preventing exposure rather than alerting after the fact.

Nightfall applies a single, unified policy framework across all layers of enforcement. Security teams can define rules such as blocking financial data from being uploaded to external AI tools or preventing proprietary source code from leaving development environments—without managing disconnected tools or inconsistent controls.

This unified approach enables organizations to safely enable AI adoption while maintaining the visibility, governance, and control required in regulated and high-risk environments.

About Nightfall

Nightfall AI is the leading AI-native data loss prevention platform, protecting sensitive data across SaaS applications, generative AI tools, browsers, email, and endpoints. The San Francisco–based company is backed by Bain Capital Ventures, Venrock, and WestBridge Capital. For more information, visit www.nightfall.ai.

SOURCE Nightfall AI