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AI Summary: Introduces a novel, layered benchmark designed to evaluate how strictly Large Language Models adhere to complex governance and behavioral compliance standards.

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Design Behaviour Codes (DBCs): A Taxonomy-Driven Layered Governance Benchmark for Large Language Models

G. Madan Mohan·
Veena Kiran Nambiar·
Kiranmayee Janardhan

ABSTRACT

As autonomous systems proliferate, standard capability benchmarks fail to evaluate the nuanced behavioral governance required for enterprise deployment. This research introduces Design Behaviour Codes (DBCs), a taxonomy-driven framework that scores LLMs based on layered governance principles. It provides a standardized metric for evaluating how well models adhere to corporate compliance, cultural sensitivity, and ethical boundaries across different jurisdictions.

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