Agentic AI for autonomous anomaly management in complex systems

TL;DR

This paper investigates how agentic AI can autonomously detect and respond to anomalies in complex systems, aiming to replace traditional human-dependent methods with more autonomous solutions.

Contribution

It introduces the concept of agentic AI specifically designed for autonomous anomaly management in complex systems, highlighting its potential advantages.

Findings

Agentic AI can effectively identify anomalies autonomously.

Autonomous responses improve system resilience.

Potential reduction in human intervention required.

Abstract

This paper explores the potential of agentic AI in autonomously detecting and responding to anomalies within complex systems, emphasizing its ability to transform traditional, human-dependent anomaly management methods.