Securing Browser Identity in the Modern Threat Landscape

As organizations transition to cloud-first strategies, web browsers have become the primary workspace for over 80% of employees, making them a critical target for sophisticated cyberattacks. This comprehensive white paper explores how traditional security tools—including antivirus, EDR, and network controls—are failing to protect against modern browser-native threats that exploit identity artifacts like cookies, tokens, and session data. Attackers are increasingly leveraging techniques such as session hijacking, credential theft, malicious browser extensions, and adversary-in-the-browser attacks to bypass multi-factor authentication and gain unauthorized access to corporate applications.

The whitepaper explores Seraphic Security’s innovative browser-native security approach, which embeds protection directly into the browser layer through a patented, browser-agnostic platform. Unlike legacy solutions that operate at the network or endpoint level, Seraphic provides real-time threat detection and prevention by monitoring over 200 behavioral signals within the browser’s JavaScript engine, encrypting identity artifacts, and enforcing granular access policies based on user context and risk assessment. This breakthrough technology transforms any browser into a security-aware agent capable of stopping zero-hour phishing attacks, preventing account takeovers, and enabling secure access for both managed and unmanaged devices.

Key Insights from This White Paper:

• 12 Critical Attack Vectors: Detailed analysis of modern browser-based threats
• Legacy Security Gaps: Why existing EDR, CASB, and network security solutions are blind to browser-layer threats and identity-based attacks
• Browser-Native Protection: Seraphic’s patented technology provides real-time threat detection, identity artifact encryption, and policy enforcement
• Zero Trust Integration: How browser-native security aligns with modern zero trust architectures
• Measurable Business Impacts: Organizations implementing AI-driven security can save $2.22 million annually in breach prevention costs while reducing incident response workload and ensuring regulatory compliance