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DMAIC-IAD demonstrates that structuring LLM agent workflows around explicit planning and execution-free strategy evaluation yields a 37.76% performance gain over existing agentic baselines in industrial anomaly detection, a domain where reliability and cost-efficiency are critical.
Practitioners securing multi-vendor O-RAN deployments gain a zero-shot detection approach that requires no labelled baselines and produces explainable, WG11-aligned impact ratings — directly addressing the retraining bottleneck that makes traditional TSAD methods impractical in fast-evolving threat environments.