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公开(公告)号:US12120134B2
公开(公告)日:2024-10-15
申请号:US17313479
申请日:2021-05-06
申请人: Noetic Cyber Inc.
IPC分类号: H04L29/06 , G06F16/245 , G06F16/248 , G06F16/25 , G06F16/28 , G06F16/901 , G06F18/214 , G06K9/62 , G06N20/00 , H04L9/40
CPC分类号: H04L63/1425 , G06F16/245 , G06F16/248 , G06F16/252 , G06F16/288 , G06F16/9024 , G06F18/214 , G06N20/00 , H04L63/0263 , H04L63/1416 , H04L63/1433 , H04L63/20
摘要: An entity tracking system and method for a computer network employs proactive data collection and enrichment driven by configurable rules and workflows responsive to the discovery of new entities, changes to existing entities, and specifics about the entities' attributes. The data collection is used in conjunction with graph technologies to map interactions and relationships between various entities interacting in the computer environment and deduce interactions and relationships between the entities. Machine learning techniques further identify, group or categorize entities and identify patterns which are indicative of anomalies that might be due to nefarious actions or compromised security.