As organisations transition from AI experimentation to full-scale deployment, the integration of Gemini Enterprise Agents across the global workforce presents a unique set of security challenges. Protecting the modern AI-driven enterprise requires more than just perimeter defense; it demands a holistic approach that secures the user, the infrastructure, and the AI runtime itself.

Follow the journey of a global enterprise as they implement Gemini Enterprise Agents for their entire workforce. We will explore a comprehensive security framework developed by Palo Alto Networks and Google Cloud Security gaining insights into:

• Secure Access for a Distributed Workforce: How to provide seamless, high-performance, and secure access to AI applications for remote users and branch offices.
• Hardening AI Cloud Infrastructure: Best practices for securing the underlying cloud environments that power large-scale AI models.
• Securing the AI Runtime: Strategies to protect live AI interactions, ensuring data integrity and preventing emerging AI-specific threats.