The plans and standby systems that bring an organization's technology back after a major failure or disaster, within agreed limits on downtime and data loss.
In AI systems, Disaster Recovery (DR) covers the AI stack as well as databases. It requires automation that can rebuild agentic workflows, restore exact model weights, and provision new Private AI infrastructure through Infrastructure as Code, within agreed Recovery Time Objectives (RTO).
See also Agentic Workflows, Private AI, Infrastructure as Code, Air-Gapped Environment, Role-Based Access Control and Zero Trust Architecture.