Beyond RAG: Why Google’s Agentic Data Cloud is the Future of Cloud Security

This is a submission for the Google Cloud NEXT Writing Challenge If you are a Cloud Security Architect, you have a different set of concerns when evaluating an AI pipeline: Where does sensitive data land? Who - or what - controls access to it? Can an AI agent be tricked into leaking a policy document? And critically, can you audit every retrieval decision for an auditor? I have spent the last year building a production RAG-powered internal security advisor on AWS using Bedrock.