Nightfall has introduced its AI Browser Security solution, an AI-native platform designed to prevent sensitive data loss through AI tools, AI-powered browsers, and modern web workflows. Unlike legacy data loss prevention (DLP) systems, which struggle with browser-based activities and encrypted sessions, Nightfall provides real-time interception and blocking at the point where data is shared.
Quick Intel
Employees today routinely use generative AI tools and browsers to process sensitive information—pasting proprietary code, uploading financial spreadsheets, or sharing screenshots—exposing organizations to significant data loss risks. Traditional DLP tools, built for predictable channels like email attachments and file transfers, lack the visibility needed for these dynamic, browser-centric workflows.
"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."
Nightfall's solution delivers multi-layered protection tailored to AI-native environments. Browser-native interception provides granular control over file uploads, form submissions, clipboard actions, and screenshot sharing to any destination, analyzing content in real time to block transmission of sensitive data. Endpoint agents extend coverage to additional vectors, including desktop applications and local transfers, while SaaS integrations with Google Drive, Microsoft 365, Slack, Salesforce, GitHub, and Zendesk enable ongoing scanning and full data lineage tracking.
Detection relies on an advanced AI engine rather than rigid pattern matching. Machine learning models achieve high-precision identification of credentials, PII, PCI, and PHI, while LLM-powered classification interprets business context to recognize source code, customer records, financial documents, and intellectual property. Computer vision and OCR capabilities detect embedded sensitive information in images and scanned files, and unified lineage tracing offers forensic-level insight into data movement.
This architecture supports a single policy framework, allowing security teams to enforce rules—such as restricting financial data uploads to external AI tools or preventing code exfiltration from development environments—consistently across all enforcement points. The result is proactive prevention that empowers secure AI usage without compromising productivity or compliance.
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.
TechIntelPro empowers B2B technology decision-makers with the latest industry trends, deep insights, leadership perspectives and actionable intelligence to drive both organizational and professional milestones—and thrive on the tech pulse.