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Google and AWS split AI agent control from execution, reshaping how enterprises will manage production agents
Technology
Published on 24 April 2026
Long-running agents don’t just fail—state drift makes them mislead
Enterprises are moving AI agents from experiments to production, and the key question is how to manage them. Google and AWS are taking opposite paths: Google emphasizes a Kubernetes-style control plane for governance and identity, while AWS pushes config-based harnesses in the execution layer for faster deployment. Both aim to reduce new risks like state drift in long-running agents.
- Google builds agent governance into a centralized control plane
- AWS speeds rollout with managed “harnesses” in the execution layer
- Long-running agents introduce a new failure: state drift
- Enterprises may need both rapid deployment and strong control
Read the full story at Venture Beat
This summarization was done by Beige for a story published on 
Venture Beat