Governed AI Agents on AWS: Control You Can Prove

AWS gives enterprises everything they need to build agents. Governing them is another matter. Once agents hit production, teams need to know who each agent is, what it can access, whether it’s performing and what it costs. Join WSO2 to see how one control plane governs, traces, evaluates and tracks AI and agent spend and performance for agents running on Bedrock, Strands, ECS, EKS and Lambda, without changing anything on how they run in AWS.

You’ll learn:

• How agents built on Strands Agents, Amazon Bedrock, Amazon ECS, Amazon EKS and AWS Lambda benefit from governance that sits outside the agent, so control doesn’t depend on each agent policing itself
• Why the POC-to-production gap is an operations and governance problem, not a model problem
• How to apply agent identity, least-privilege tool access, model guardrails and token budgets consistently, without rebuilding agents or changing runtimes
• What it takes to see and score agent behavior in production, including traces, token usage and quality evaluations before and after changes
• What agent control looks like in practice with a live demo