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ResearchOfficialarXiv AI/ML

Harness Engineering for Auditable Enterprise LLM Agents

Jul 10, 2026

A new arXiv paper introduces a harness-engineering approach that shifts deterministic behavior for LLM agents into code, manifests, schemas, and validation artifacts, enabling a traceable and auditable architecture. The method maintains source-grounding and safety contracts even when models are substituted, while prompt-only enforcement fails to block certain violations. In evaluations, the harness preserved full utility (120/120) compared to 88/120 for external guardrails.

Why it matters: This work offers a reusable engineering pattern for transforming exploratory LLM prototypes into auditable enterprise applications with versioned source, control, and validation artifacts.

Full story at: arXiv AI/ML