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System for automatically discovering, enriching and remediating entities interacting in a computer network
System for automatically discovering, enriching and remediating entities interacting in a computer network
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机译:自动发现,丰富和修复在计算机网络中交互的实体的系统
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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.
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