Enterprises shift AI strategy to process data on-premises instead of exporting it
Companies building agentic AI systems have traditionally sent their internal data—tickets, customer records, contacts, and workflows—into third-party frontier models hosted elsewhere, relying on contracts for protection. A shift is emerging where successful enterprise AI deployments instead keep data within their own infrastructure and bring AI models to that data rather than exporting sensitive information externally.