Sensitivity classification is the assignment of sensitivity levels to data, for example a five-tier scale from Public to Regulated; so that access and inference policy can be applied appropriately, including during AI retrieval and reasoning.
What is data sensitivity classification?
Classification is the foundation of governance: policy needs to know how sensitive content is before it can decide what AI may do with it. Kynexa generates sensitivity labels automatically at asset and element level, across structured and unstructured data, so classification keeps pace with AI usage.