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Overview#
The Correlation domain provides an entity correlation engine with multi-tier matching, ML-powered similarity scoring, configurable rulesets, and automated merging. It identifies and links related entities across data sources using deterministic and probabilistic matching strategies.
Key Features#
- Multi-tier matching with deterministic and probabilistic strategies
- ML-powered similarity scoring for entity comparison
- Configurable correlation rulesets with adjustable thresholds
- Confidence scoring for match quality assessment
- Automated entity merging with conflict resolution
- Cross-data-source correlation for entity deduplication
- Batch and real-time correlation execution modes
- Audit logging for all correlation decisions and merges
Use Cases#
- Identifying duplicate entities across multiple intelligence data sources
- Automated entity merging with configurable confidence thresholds
- Cross-domain correlation for linking persons, organizations, and events
- Batch correlation jobs for periodic data quality improvement
Integration#
Integrates with entity management, investigation, and data source domains for cross-platform entity resolution and deduplication.
Last Reviewed: 2026-02-05