Building an Agentic AI Platform on Amazon Bedrock AgentCore
Machine Learning Blog
This article presents an enterprise Agentic AI Platform architecture built on Amazon Bedrock AgentCore that enables secure, governed, multi-team agent development through federated governance, isolated Workstream cells, and automated evaluation gates.
- Federated operating model balances Platform team governance with Workstream team autonomy over agents, tools, and data
- Multi-account topology separates management foundation, security/audit layer, Platform services, and team-owned Workstream cells
- Governed inference and tool gateways enforce approved models, Guardrails, rate limits, and least-privilege tool access
- CI/CD pipeline gates production promotion with deployed-runtime evaluation, adversarial testing, and human approval
- Defense-in-depth security includes short-lived credentials, actor-scoped memory, policy validation, and zero-residual teardown
- Centralized observability and cost attribution enable fleet operations without granting write access to team workloads
The blueprint provides a repeatable, production-ready reference implementation for enterprises to deploy governed agentic AI platforms that scale across teams while maintaining consistent controls and audit trails.
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