Agentic AI Orchestration of Multi-Cloud Disaster-Recovery Workflows
Keywords:
agentic AI, disaster recovery, multi-cloud orchestration, RPO, RTO, execution graphs, workflow automationAbstract
The objective of this study is to present an agentic AI framework for multi-cloud disaster recovery using a distributed swarm of intelligent agents. Agents decide cloud infrastructure failover using RPOs, jurisdiction-specific data governance rules, and dynamic capacity indicators. Disaster recovery is handled independently by distributed knowledge representations and self-validating execution graphs which eliminates runbook errors.
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References
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