01 What is it?
Google Vertex AI Agents combines Agent Builder, Gemini foundation models and Google Cloud security primitives into a managed agent runtime. It is the natural fit for agentic workloads that must stay inside the Google Cloud security boundary, with Gemini as the default model family.
02 Why implement it?
- Hosted entirely inside the Google Cloud perimeter
- Native IAM, KMS, VPC-SC, Cloud Audit Logs
- Gemini foundation models with long context windows
- Built-in safety filters and Model Armor
- Strong compliance posture (HIPAA, SOC 2, ISO)
03 How I help
I design Vertex AI Agent deployments aligned to your Google Cloud security boundary: VPC Service Controls, IAM model, Model Armor configuration, observability, and integration with your existing CSPM tooling.
04 Expected deliverables
- Vertex AI Agent landing-zone design
- IAM model with least-privilege boundaries
- Model Armor and safety policy set
- Observability and audit pipeline
- Operating model and runbooks