As AI agents take on enterprise tasks, companies face a new battle over access and control
Not a pilot anymore. Enterprise agents are live — but companies are locking them down with 'deny by default' runtimes because nobody trusts unsupervised autonomous software.
Why it matters
As AI agents move from proof-of-concept to production workflows, the core tension isn't capability—it's governance. Platform teams now face a critical decision: how to give agents the access they need without creating security and compliance nightmares. This is reshaping how enterprise AI infrastructure gets built.
The key facts
6 to knowEnterprise private AI agents past pilot stage and into production
Agents performing multi-step tasks: code generation, claims processing, business workflows
New platform requirement: 'deny by default' runtime isolation and access control
Broadcom/VMware introducing access-control mechanism for agent sandboxing
Core problem: agent autonomy vs. infrastructure security and governance
Platform teams now gatekeeping agent permissions and resource access
Go to the source
SiliconAnglesiliconangle.com
Publisher excerpt: Enterprise private AI has moved past the pilot stage, and the shift is exposing an awkward gap. Agents that write code, process claims and run business workflows need models, tools and data to be useful, yet few organizations want autonomous software wandering across their infrastructure…