Abstract
A confidence-gated hybrid diagnosis approach is disclosed for multi-system infrastructure operations. Typed signals are collected from multiple independent monitoring systems and temporally aligned within a configurable window. The aligned observations are compared to structured historical failure patterns stored in a knowledge base, where each pattern includes cross-system signal signatures and operational metadata such as recommended actions and oncall routing. A pattern match confidence is computed based on a proportion of signatures satisfied. A triage report is generated with diagnosis, confidence, affected systems, and routing. A large language model (LLM) copilot is invoked only when confidence falls below a threshold or when a category is unknown, and receives structured context including observed signals and partial match explanations rather than raw data. Resolved novel incidents may be converted into new structured patterns to expand deterministic coverage over time.
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Recommended Citation
Anonymous, "Confidence-Gated Hybrid Diagnosis System with Cross-System Signal Correlation for Infrastructure Failure Management", Technical Disclosure Commons, ()
https://www.tdcommons.org/dpubs_series/10766