How AI Exposed a Browser Security Gap that Enterprises Cannot Ignore

By Thyaga Vasudevan, EVP of Product at Skyhigh Security

For decades, enterprise security was largely focused on endpoints and networks. By protecting corporate end-user devices, establishing secure connectivity, and controlling access to on-premises resources, teams could effectively keep their centralized servers secure from intrusion.

Eventually, these priorities evolved as enterprises embraced software-as-a-service (SaaS) models and cloud services, shifting to include new cloud security, data protection, and identity-based controls.

Then employees began working from anywhere, on any device, and the network expanded even further. And if that wasn’t enough, the artificial intelligence (AI) boom came along and made the threat landscape even more complicated.

When users can be in person, remote, or hybrid, and access data from a corporate computer or a personal laptop—then turn around and share that data with third-party AI models—endpoint and network measures alone are no longer sufficient.

Even as enterprise networks become increasingly distributed and complex, there is one common thread that connects users, applications, data, and AI models: the browser. It is the primary interface for modern work, acting as a gateway to business-critical tools, platforms, and more.

Because of this, securing the browser has taken on even more significance, emerging as a critical component of modern security strategies designed to protect data wherever it is accessed—even by AI models.

How AI Revealed an Existing Blind Spot

The excitement around AI has understandably focused enterprise attention on the new risks associated with these models. Security teams worry about employees copying and pasting sensitive information, uploading private files, or inadvertently exposing intellectual property while using AI services and workflows.

Because of this, they focus on protecting sanctioned enterprise AI tools while discouraging the use of unsanctioned shadow AI models, trying to promote adoption while avoiding new threats.

While this is well and good, these growing AI security concerns point to a broader issue that enterprises have long been able to ignore: employees have been moving sensitive data through browser-based applications for years; all AI did was accelerate the volume and visibility of these kinds of interactions.

Think about the everyday actions that take place within a browser session. Users copy and paste information between applications, upload files, download reports, print documents, and share content with partners and collaborators. And this is all done across different devices and locations.

This browser-based activity mirrors much of today’s AI usage, demonstrating that we’re not dealing with an entirely new security challenge, but an evolution of an existing one.

The problem enterprises must now solve is how to govern browser activity effectively without disrupting or greatly inhibiting the user experience.

Why Traditional Security Approaches Are Struggling

The shift to primarily browser-based work has exposed key weaknesses in traditional enterprise security methods. Historically, controls were designed to inspect and secure traffic crossing the network perimeter, or to protect managed corporate devices at network endpoints.

While these methods remain important to overall enterprise security, they were not designed to govern the growing number of user interactions taking place within browser-based applications, services, and models. 

The rise of hybrid work only adds to these challenges. As employees, contractors, and external partners access corporate resources from various devices—both managed and unmanaged—enforcing consistent access and security policies becomes increasingly difficult.

Because of this, enterprises often find themselves with strong protections on company-owned devices, but far less visibility into how data is accessed, shared, or manipulated once it moves beyond managed environments.

AI usage further expands this potential threat landscape, providing additional avenues through which data can quickly and easily leave protected corporate networks. While organizations can restrict access to applications and monitor data as it moves across the network, they still need to govern these kinds of actions that create risk in the first place.

Whether it’s copying sensitive information into an AI prompt, uploading a confidential document to a cloud platform, or downloading proprietary data to a personal device, teams need to find a way to control and manage browser-based activity.

Securing the Browser Without Replacing It

As things stand, enterprises have adopted several different approaches to enhanced browser security. Some choose to deploy entirely new secure browser environments that employees must adopt, while others rely on virtual desktop infrastructure (VDI) or remote browser isolation (RBI) to keep browser activity separated from endpoints.

These methods, while effective, are not perfect. They tend to suffer from deployment complexity, infrastructure overhead, user adoption challenges, and limited coverage for unmanaged devices.

In response to these inefficiencies, a new model has emerged that focuses directly on securing sessions without replacing or largely restricting browsers. These solutions apply inline security controls across common browsers like Chrome, Edge, Safari, and Firefox, allowing organizations to govern user actions within browser sessions without upending existing workflows or inhibiting secure experimentation with new AI models.

Skyhigh Security’s Secure Browser Controls solution is an example of this new, dynamic approach to browser security. Built to work within existing browser and security service edge (SSE) architectures, this solution enables organizations to deter common risk activities, including:

• Controlling copy-and-paste activity involving sensitive data
• Restricting uploads and downloads to sanctioned applications and AI services
• Preventing unauthorized printing or screen capture of sensitive information
• Governing drag-and-drop actions and other methods of data movement between applications
• Applying data protection policies to AI prompts, file uploads, and other browser-based interactions in real time

Protecting Work Where It Happens

As enterprise applications, collaboration tools, and AI services continue to converge inside the browser, security teams must be able to apply controls wherever users interact with data.

Skyhigh Security’s Secure Browser Controls help align security controls with where work is actually happening in enterprise networks, rather than applying them strictly at endpoints and system borders.

The rise of AI may have intensified the conversation around browser security, but the underlying trend extends beyond these newer tools.

By recognizing the browser as a critical control point for enterprise security—and protecting it as such—organizations can ensure their sensitive data is kept safe while supporting browser-based collaboration and innovation.

Request a free a demo of Skyhigh Secure Browser Controls now. 

Sponsored and written by Skyhigh Security.