Google Cloud is preparing a customer-facing launch for a new Vertex AI security feature that lets enterprise admins apply policy controls and audit logging to generative AI workloads. You are the Solutions Architect supporting the launch for one strategic financial-services customer and an internal cross-functional team of 11 people across Product, Engineering, Security, Legal, Sales, and Customer Engineering. The launch date is fixed in 8 weeks because the customer wants the feature included in its annual cloud governance review.
The challenge is not only technical delivery. The customer's CIO and procurement lead are non-technical, but they must approve rollout, budget, and change-management communications. They are concerned that "AI security" sounds risky and expensive, while the customer's security architects want precise details on IAM, Cloud Audit Logs, VPC Service Controls, and data residency.
The Google Cloud Product Manager wants a clean reference launch by quarter-end. The customer's CIO wants a simple explanation of business risk reduction and no disruption to existing Gemini on Vertex AI pilots. The customer's CISO wants technical assurance that controls are enforceable. The account executive wants the deal expansion closed this quarter, even if scope is reduced.