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Explore production-grade security implementation for AI agents in this 21-minute technical podcast episode that analyzes recent attack vectors and demonstrates Google Cloud's multi-layered defense architecture. Examine emerging security threats targeting AI systems and discover how to protect your agents using practical implementations with Model Armor, IAM policies, VPC Service Controls, and the Agent Development Kit. Walk through Google's Secure AI Framework and learn to build robust security layers that safeguard production AI agents from sophisticated attacks. Gain insights into securing multi-agent systems, ensuring compliance requirements, and implementing comprehensive defense strategies that protect both your AI models and the data they process. Access practical guidance on configuring Vertex AI security controls, implementing proper authentication and authorization mechanisms, and establishing monitoring systems that detect potential security breaches in real-time.
