Anomaly detection in enterprise threat detection

    公开(公告)号:US11093608B2

    公开(公告)日:2021-08-17

    申请号:US16780259

    申请日:2020-02-03

    Applicant: SAP SE

    Abstract: A selection of data types is defined from available log data for an evaluation of events associated with an entity. One or more evaluations associated with the entity are defined and reference data is generated from the selection of data types based on the one or more defined evaluations. The one or more evaluations are grouped into a pattern. A three dimensional (3D) score diversity diagram visualization is initialized for display in a graphical user interface, where a point representing the entity in the visualization is localized in 3D space at a coordinate based on two-dimensional (2D) coordinates in a 2D coordinate system of a centroid of the calculated area of a polygon placed to into the 2D coordinate system and defined by the values of each evaluation associated with the entity.

    ANOMALY DETECTION IN ENTERPRISE THREAT DETECTION

    公开(公告)号:US20200175159A1

    公开(公告)日:2020-06-04

    申请号:US16780259

    申请日:2020-02-03

    Applicant: SAP SE

    Abstract: A selection of data types is defined from available log data for an evaluation of events associated with an entity. One or more evaluations associated with the entity are defined and reference data is generated from the selection of data types based on the one or more defined evaluations. The one or more evaluations are grouped into a pattern. A three dimensional (3D) score diversity diagram visualization is initialized for display in a graphical user interface, where a point representing the entity in the visualization is localized in 3D space at a coordinate based on two-dimensional (2D) coordinates in a 2D coordinate system of a centroid of the calculated area of a polygon placed to into the 2D coordinate system and defined by the values of each evaluation associated with the entity.

    Anomaly detection in enterprise threat detection

    公开(公告)号:US10552605B2

    公开(公告)日:2020-02-04

    申请号:US15382056

    申请日:2016-12-16

    Applicant: SAP SE

    Abstract: A selection of data types is defined from available log data for an evaluation of events associated with an entity. One or more evaluations associated with the entity are defined and reference data is generated from the selection of data types based on the one or more defined evaluations. The one or more evaluations are grouped into a pattern. A three dimensional (3D) score diversity diagram visualization is initialized for display in a graphical user interface, where a point representing the entity in the visualization is localized in 3D space at a coordinate based on two-dimensional (2D) coordinates in a 2D coordinate system of a centroid of the calculated area of a polygon placed to into the 2D coordinate system and defined by the values of each evaluation associated with the entity.

    Location enrichment in enterprise threat detection

    公开(公告)号:US10542016B2

    公开(公告)日:2020-01-21

    申请号:US15253438

    申请日:2016-08-31

    Applicant: SAP SE

    Abstract: Subnet information and location information is received from a database by a smart data streaming engine (SDS). A particular subnet of the subnet information is associated with a particular location of the location information by a globally unique location ID value. Log event data received in the SDS is normalized as normalized log event data. The normalized log event data is enriched with subnet and location information as enriched log event data and written into a log event persistence in the database. A subnet ID value retrieved from an enriched log event of the enriched log event data is used by an enterprise threat detection (ETD) system to determine a location associated with the enriched log event using a location ID value associated with the subnet ID.

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