Over the last few days I have been looking at several developments around enterprise AI agents that initially seemed unrelated.
Cloudflare open-sourced its internal agent workspace platform.
Researchers published work on what happens when an agent authorizes an action using state that changes before execution.
Enterprise AI leaders are starting to talk less about how many agents they can deploy and more about whether those agents are producing measurable value.
There is also growing infrastructure around agent identity, tool access, observability, security, and runtime isolation.
