AI systems that run inside an environment the organization controls, so its data and models stay under its own authority.
Private AI is the deployment and operation of Artificial Intelligence (AI) models and infrastructure entirely within an environment the organization owns and controls.
Unlike public, multi-tenant AI services (such as public instances of ChatGPT or Claude), where data is transmitted to third-party servers for inference, Private AI keeps sensitive intellectual property, customer data, and proprietary algorithms within the corporate perimeter.
Models are hosted in on-premises data centers, private cloud instances, or air-gapped networks. Private AI is a common requirement in regulated industries such as finance, healthcare, and defense, where data sovereignty and compliance rules are binding.
See also On-Premises, Data Sovereignty, Digital Transformation and Enterprise Architecture.