How Over-Resolved Entities Suppress Alerts
Blog post from TigerGraph
Over-resolved entities in monitoring systems occur when multiple identities are merged into a single profile, causing risk alerts to be suppressed not because the risk is absent but because it is obscured within a blended entity view. This results in false negatives, as the detection logic assumes a coherent subject, leading to diluted signals and altered thresholds that fail to trigger alerts. Traditional flat views of data struggle to reveal these over-merge failures, which can persist across different model versions and rule changes. A structural analysis, particularly through graph-based methods, can expose the internal fragmentation and distribution of risk signals, allowing teams to identify and address areas where aggregation has gone too far. This approach does not replace automation but enhances it by adding structural checks, ensuring that entity resolution accurately represents distinct identities and supports effective monitoring and alerting. TigerGraph's graph technology aids in providing the necessary structural clarity to understand and rectify the suppression of alerts, ensuring that the detection systems remain robust and reliable.
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