Nightfall has announced the availability of its AI Browser Security solution. This is a state-of-the-art solution when it comes to the prevention of exfiltration of sensitive data. This comes against the background of the rising dependence of modern digital workflows on generative AI tools and browser-based engagements. So far, there has been a gap that conventional DLP tools have not been able to bridge.
As enterprises embrace AI assistants like ChatGPT, Claude, Gemini, Copilot and emerging AI-centric browsers for decision-critical tasks, conventional DLP systems struggle to detect data movement originating from within browsers, encrypted applications, and autonomous agent sessions. Nightfall’s solution brings visibility and control to these blind spots, blocking unauthorized transmissions before sensitive information ever leaves an organization’s environment.
Closing the Gap Left by Legacy Security Tools
The legacy DLP solutions were built around the old egress patterns of file attachments in email and removable media. These solutions depend very much on patterns and alerts after the fact, which can easily be bypassed in a world of new egress patterns for sensitive information such as source code, financial, and customer data via uploads, clipboard copy, screenshots, and other browser-centric paths.
Nightfall’s solution addresses these challenges with an AI-native architecture that operates directly at the point of interaction across browsers, endpoints and cloud platforms for real-time detection and prevention.
AI-Native Protection Across Every Major Exfiltration Vector
The AI Browser Security solution offers end-to-end threat protection by stacking multiple layers of enforcement:
- Browser Native Interception: This monitors what happens on sophisticated browsers (Chrome, Edge, Firefox, Safari, Comet, Atlas, Arc, Brave browsers, or any others that exist), allowing it to detect and pre-emptively eliminate sensitive uploads, clipboard paste actions, form data submissions, or screenshot-sharing activity before it reaches external or AI apps.
- Endpoint Integration: Enhances security beyond browser sessions to secure cloud sync services, AI applications for the desktop, command-line applications, USB transfers, and more to lock down frequent exfiltration tactics.
- SaaS API Enforcement Seamlessly integrates with enterprise platforms such as Google Drive, Microsoft 365, Slack, Salesforce, GitHub, and Zendesk, providing end-to-end visibility and enforcement on data at rest and in motion.
Also Read: Radware Unveils Unified API Security Service Delivering Full Lifecycle Protection in Real Time
Context-Aware Detection Powered by Advanced AI
Rather than relying on legacy regex patterns, Nightfall uses its AI-driven detection engine to provide context-aware insights that distinguish proprietary enterprise content from benign data.
Key capabilities include:
- Machine learning classifiers that detect credentials, PII, PCI and PHI with high accuracy.
- Large language model (LLM)-powered document understanding to identify source code, customer lists, financial projections, board documents and other critical assets.
- Optical character recognition (OCR) to analyze sensitive information embedded in images and screenshots.
These detections are explainable and adaptive, enabling security teams to enforce policies in real time rather than relying on after-the-fact alerts.
Unified Policy Framework for Modern Security Teams
Nightfall’s solution operates under a single, unified policy framework that spans the browser, endpoint and SaaS environments. This cohesive approach allows organizations to define precise rules such as preventing financial data from being uploaded to external AI tools or blocking proprietary source code from leaving development environments without managing disparate security tools or inconsistent controls.
“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.”