By Sarang Warudkar - Sr. Technical PMM
May 19, 2026 3 Minute Read
For years, security teams focused on protecting networks and endpoints with traditional network and endpoint security solutions. Yet one major security area remained untapped: The Browser.
In today’s cloud-first workplace, employees work inside browsers. They access CRM records, financial dashboards, shared documents, and AI tools like ChatGPT, Microsoft 365 Copilot, and Gemini. A secure web gateway can block malicious sites, but it has limited control over actions inside an active browser session.
That gap is expanding quickly.
Traditional network inspection relies on HTTP and HTTPS traffic flowing through a proxy. That model worked well for years, but two changes added further complexities.
First, modern SaaS applications increasingly use WebSocket connections. Apps like Microsoft Teams, WhatsApp, and Microsoft 365 Copilot create persistent browser sessions that bypass traditional proxy inspection and security teams lose visibility into session activity.
Second, end to end encrypted applications encrypt content before traffic reaches the proxy. The network security tools can see the connection but cannot inspect the payload.
This creates browser activity that sits outside the visibility of existing security controls.
Most data exposure incidents do not come from advanced attackers; they come from routine employee actions inside the browser.
Security teams describe these as user-actions: copy-paste, screenshots, uploads, and AI prompts that occur after access is granted.
Examples include:
These actions happen during normal work and are difficult for traditional controls to detect.
Generative AI amplified this problem by creating browser prompt fields that accept any pasted content. Employees can submit source code, customer PII, financial data, legal documents, or M&A plans into external AI systems within seconds. Research shows 46% of sensitive data employees upload through the browser bypasses DLP entirely by going to personal or unverified accounts, while 41% of employees regularly interact with AI web tools that have no governance controls on what they paste or upload.
For many organizations, no technical control exists between the employee clipboard and an external AI prompt field.
Regulations already require technical safeguards for sensitive data.
General Data Protection Regulation (GDPR) Article 32 requires protection of personal data processing. The Health Insurance Portability and Accountability Act mandates safeguards for healthcare data. India’s Digital Personal Data Protection Act requires technical protections for personal data. Payment Card Industry Data Security Standard requires controls for cardholder data.
Auditors increasingly ask what prevents employees from copying sensitive data into external AI tools. Many organizations lack a clear technical answer.
The security industry introduced secure enterprise browsers to address this gap. These browsers replace Chrome, Edge, or Safari and provide deep session controls and telemetry.
The model is simple: control the browser session directly.
Yet enterprise browser rollouts introduce operational challenges. Organizations must migrate managed devices, contractors, and BYOD users to the secure browser, employees resist changing browsers tied to existing workflows, bookmarks, and extensions, and many users eventually return to personal browsers, recreating shadow IT risks.
Other approaches also exist, including Virtual Desktop Infrastructure, Remote Browser Isolation, and newer browser native session control models that work inside existing browsers without replacement or additional agents.
Security leaders now need to evaluate which approach fits their operational and security requirements best.
If the browser security gap we have described sounds familiar in your environment, the fastest next step is a one-page overview of how organizations are closing it.
Download the one page overview to learn what inline session controls do, how they deploy through your existing SSE platform, and what the coverage looks like across managed devices, BYOD, and contractor endpoints. One page that takes just three minutes to read.
You can also request a personalized demo for your SSE environment.
저자 소개

Sarang Warudkar는 사이버 보안 분야에서 10년 이상 경력을 쌓은 노련한 제품 마케팅 관리자로, 기술 혁신을 시장의 요구사항에 맞추는 데 능숙합니다. 그는 CASB, DLP, AI 기반 위협 탐지와 같은 솔루션에 대한 깊은 전문 지식을 바탕으로 영향력 있는 시장 진출 전략과 고객 참여를 주도합니다. Sarang은 IIM 방갈로르에서 MBA를, 푸네 대학교에서 공학 학위를 취득하여 기술 및 전략적 통찰력을 겸비하고 있습니다.
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