Architecting AI Agents Securely Across AWS, Azure, and GCP скачать в хорошем качестве

Architecting AI Agents Securely Across AWS, Azure, and GCP

AI agents are quickly moving from experimentation to production — embedded in workflows across AWS, Azure, and Google Cloud. But as adoption accelerates, security teams are facing a new challenge: Who owns an AI agent’s identity — and how do you secure it consistently across multiple cloud platforms? In this expert-led session with Ido Halevi, Silverfort’s Director of Product Management, we’ll walk through a practical blueprint for architecting and governing AI agent identities across AWS Bedrock, Azure AI (including Copilot Studio), and GCP Vertex AI — without requiring deep expertise in each provider’s underlying architecture. Gain clarity to this rapidly evolving space and learn how to: -- Understand how AI agents execute, authenticate, and operate across AWS, Azure, and GCP -- Compare customer-managed vs. vendor-managed identity models — and the security tradeoffs of each -- Apply consistent identity guardrails for permissions, logging, and isolation across clouds -- Enable AI teams to move fast while maintaining visibility, governance, and trust View this webinar and walk away with clear, actionable guidance you can apply immediately for securing AI agents at enterprise scale.