The increasing use of artificial intelligence (AI) tools has highlighted a long-standing vulnerability in enterprise security: the browser. While AI has brought new concerns about data exposure, it has primarily amplified existing risks associated with how employees interact with sensitive information through web browsers.
Historically, enterprise security focused on protecting network perimeters and corporate endpoints. However, the shift to software-as-a-service (SaaS), cloud services, and remote work has made the browser the primary interface for accessing critical business applications and data. This evolution means that traditional security measures are often insufficient to govern user actions within browser-based environments.
The core issue is that employees routinely perform actions within browsers that can expose sensitive data, such as copying and pasting information between applications, uploading or downloading files, printing documents, and sharing content. AI tools, by enabling rapid data input and output, have accelerated the volume and visibility of these interactions, making the browser a more prominent control point for data security.
Traditional security approaches struggle because they were not designed to inspect and secure traffic within browser sessions, especially as employees access corporate resources from various devices, including unmanaged personal ones. This creates a gap where strong protections might exist on company-owned devices, but visibility and control diminish once data moves within browser applications or to unmanaged environments.
The rise of AI further complicates this by providing additional avenues for data to leave protected corporate networks quickly. Organizations need to control actions like copying sensitive information into an AI prompt, uploading confidential documents to cloud platforms, or downloading proprietary data to personal devices.
Several approaches to enhanced browser security have emerged. Some enterprises deploy entirely new secure browser environments, while others rely on virtual desktop infrastructure (VDI) or remote browser isolation (RBI). While effective, these methods can introduce deployment complexity, infrastructure overhead, user adoption challenges, and limited coverage for unmanaged devices.
A newer model focuses on applying inline security controls directly within existing browsers like Chrome, Edge, Safari, and Firefox. These solutions aim to govern user actions within browser sessions without requiring a complete overhaul of existing workflows or significantly inhibiting the user experience.
An example of this approach is Skyhigh Security's Secure Browser Controls solution. It integrates with existing browser and Security Service Edge (SSE) architectures to deter risky activities. Its capabilities include controlling copy-and-paste actions involving sensitive data, restricting uploads and downloads to sanctioned applications and AI services, preventing unauthorized printing or screen capture, governing drag-and-drop actions, and applying data protection policies to AI prompts and file uploads in real time.
By recognizing the browser as a critical control point, organizations can ensure sensitive data remains protected while supporting collaboration and innovation, even with the increasing integration of AI services.
