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New neurosymbolic architecture uses ontologies to prevent AI hallucinations and ensure regulatory compliance in enterprise LLM systems

arXiv cs.AIApr 2, 20261 min read
New neurosymbolic architecture uses ontologies to prevent AI hallucinations and ensure regulatory compliance in enterprise LLM systems

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3 Key Points

  1. Foundation AgenticOS (FAOS) platform implements three-layer ontological framework (Role, Domain, and Interaction ontologies) to ground LLM reasoning in formal semantic knowledge

  2. Asymmetric neurosymbolic coupling constrains both agent inputs through context assembly and tool discovery, and outputs through response validation and compliance checking

  3. Addresses critical enterprise adoption barriers including hallucination, domain drift, and inability to enforce regulatory requirements at the reasoning level

  4. Evaluated through controlled experiment with 600 runs across five industries to validate effectiveness of ontology-constrained neural reasoning

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