As a vital agentic capability, event correlation and link analysis involves the systematic synthesis of disparate events, entities, and signals across multiple independent sources to uncover hidden relationships, coordinated activities, or underlying causal chains. Rather than merely detecting isolated patterns or anomalies within a single dataset, this computational process connects fragmented digital footprints to map out complex networks of interaction. By automatically bridging informational gaps between distinct systems, logs, or environments, it constructs a cohesive relational graph of occurrences, enabling the identification of multi-stage phenomena, systemic dependencies, and orchestrated behaviors that would otherwise remain obscured in siloed information.