Building Trust in AI DevOps: Validating the Harness Knowledge Graph
Harness, Monday, August 31st, 2026
Harness describes a multi-layered validation approach using AI evals to verify its Knowledge Graph's reliability.
Harness explains how it validates the Knowledge Graph underpinning its AI-powered software delivery insights. The approach is multi-layered, combining AI evals with other checks so that the graph's assertions about services, dependencies and deployments can be trusted.
The engineering argument is that AI DevOps recommendations are only as reliable as the underlying model of the system, so validating the graph matters more than tuning the model on top of it. The post details the layers of validation and what each is designed to catch.