Securing the Hybrid Workforce: Securing Humans & AI Agents in the Browser

The workforce is changing. It is estimated that 60% to 80% of "agentic" work—tasks performed by autonomous AI agents—now happens within the browser. While these agents promise massive productivity gains, they also introduce a new class of security risks, including prompt injection, shadow AI, and sensitive data leakage to external LLMs.

In this session, experts from Menlo Security and Google Cloud discuss the critical role of the browser in the modern enterprise. You will learn how a unified browser security strategy allows organizations to move from reactive blocking to proactive enablement.

Key Topics Covered:

• The Visibility Gap: Why traditional EDR and network-based DLP tools are blind to AI agent activity.
• Layered Governance: A four-pillar approach (Prevent, Protect, Contain, Detect) to managing AI risk.
• Data Masking & Redaction: How to allow AI agents to process data while masking PII, PHI, and corporate secrets in real-time.
• The Menlo & Google Partnership: Leveraging Menlo’s Agent Runtime Security with Chrome Enterprise to secure any browser on any device.