Autonomous Incident Resolution at Hyperscale: An Agentic AI Architecture for Network Operations
Cloud network infrastructure at hyperscale presents unique operational challenges where traditional human-driven incident response cannot keep pace with the volume, velocity, and complexity of failures. This paper presents an agentic AI architecture for autonomous incident resolution in large-scale network operations. Our system employs a multi-agent orchestration framework where specialized AI agents collaborate to detect, diagnose, and remediate network incidents without human intervention. We describe the architectural principles, including hierarchical agent decomposition, skills-based tool invocation via standardized protocols, structured knowledge encoding from operational runbooks,...
| Authors | Arun Malik |
|---|---|
| Primary category | cs.SE |
| Published | 8 June 2026 |
| Last updated at source | 8 June 2026 |
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