Secure distributed multi-agent systems with Model Armor | Google Cloud Live
Multi-agent systems are increasingly vulnerable to prompt injections, data leaks, and denial-of-service attacks when their endpoints are left exposed. In this session, developers will learn how to implement a comprehensive defense-in-depth strategy to secure AI agents using Google Cloud’s native security tools. Join us and learn: How to implement Sensitive Data Protection (SDP) to redact PII before it reaches agents. How to integrate Model Armor to intercept and sanitize user prompts against malicious injections. Learn the workflow for running live Red Team scenarios to stress-test defenses. How to manage security guardrails at scale using "Policy as Code" with Terraform. How to apply defense-in-depth principles to protect multi-agent architecture. How to ensure consistent security posture across development and production environments. Resources: Codelab: Securing a Multi-Agent System → https://goo.gle/3T9Z2FK Google Cloud Sensitive Data Protection documentation → https://goo.gle/4h6gu8b Model Armor overview → https://goo.gle/4hswp0m Google Cloud AI security best practices → https://goo.gle/4pDltPS Ready to build? Try this in Google Cloud Codelabs here. → https://goo.gle/4vGkaAX This livestream originally aired on July 21, 2026 at 1:00 P.M. PDT / 4:00 P.M. EDT. #ModelArmor #CloudSecurity Speakers: Aron Eidelman, Leonid Yankulin Products Mentioned: Gemini, Model Armor, Cloud Security

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