Why Agentic Systems Need Guardrails: The Case for Ontologies

Agentic systems fail in predictable ways. A second refund on the same order. A payout sent to the support desk instead of the buyer. An order status of “probably shipped.” These aren’t random glitches — they’re symptoms of one missing layer.

LLMs reason probabilistically over domains they only partially understand, and no amount of prompt engineering fully closes that gap. This talk argues that the missing layer is an explicit ontology: a formal, shared map of a domain’s concepts, relationships, and constraints, sitting outside the model as enforceable logic.

The result is a hybrid neurosymbolic architecture — probabilistic reasoning inside, logical guardrails outside. Drawing on a pattern that has quietly powered enterprise systems for over a decade, the session shows how lightweight ontology constructs surround an agentic system with rules it cannot violate — turning brittle, unpredictable agents into ones you can actually trust in production.