Broadcom says that enterprise AI agents need two things: Data they can trust and boundaries they can’t cross

For enterprises deploying AI agents, security and trust are top-of-mind issues. When given the authority to act autonomously, they can inadvertently leak or expose data, rack up huge token costs, or produce inaccurate or patently false outputs. These risks, says VMware, require a new type of platform that imposes strict controls over what agents can do, while giving them access to the contextually-relevant data they need.