Salesforce expands Agent Fabric with AI evaluations to trigger shutdowns when agents fail
VentureBeat · Carl Franzen ·
The broader proposition is to shorten the distance between discovering a problem and addressing it.
Salesforce is detailing the next phase of its Agent Fabric platform, with evaluations designed to identify malfunctioning AI agents and initiate corrective action, alongside expanded discovery capabilities and previously announced spending and governance controls.
The October 27 announcement sets a November beta and January 2027 general-availability target for Agent Evals, which MuleSoft first announced at its annual Dreamforce conference in September. It also outlines API Evals, a forthcoming tool for testing the software connections agents depend on, starts a beta for custom agent scanners and schedules an evaluation-triggered agent kill switch for January.
For enterprise buyers, the announcement combines forthcoming capabilities with extensions and existing tools. The basic kill switch became generally available in September, while MuleSoft outlined budget controls, spending dashboards and token-saving features over the summer. The September announcement also described connecting failed evaluations to corrective actions.
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