Sap Se

Thanh-Phong Lam

Kathrin Nos

Thorsten Menke

Jona Hassforther

Omar-Alexander Al-Hujaj

Jens Baumgart

Volker Guzman

Anne Jacobi

Florian Kraemer

Stefan Rossmanith

Bertram Beyer

Gabriel Kevorkian

The present disclosure involves systems, software, and computer implemented methods for tenant-specific extensions in distributed applications using an application model extension engine. One example method includes receiving a request from a customer of a distributed multitenant application to add an extension field to a document type used by the application. An activation command is posted to an asynchronous message topic that requests each microservice of the application to activate the extension field to support the extension field for the customer. Replies to the activation command are received from the microservices that indicate whether respective microservices have successfully activated the extension field. In response to determining that each microservice has successfully activated the extension field for the customer, an activation success command is sent to the asynchronous message topic that informs the microservices that the extension field can be used for the customer in the distributed multitenant application.

Tenant-specific extensions in distributed applications using an application model extension engine

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

A Content Service executing in a cloud-computing-based Cloud Platform receives enterprise threat detection (ETD) Content transmitted from an ETD Content Development System (CDS) as a publication of the ETD Content from the ETD CDS. The received ETD Content is stored into a Content Management System (CMS). A determination is made of a registered Client ETD System for which the ETD Content is relevant. The ETD Content is published to the registered Client ETD System.

Distributing cloud-computing platform content to enterprise threat detection systems

A log processing job executing on a log producing computing system is initiated for processing log data associated with the log producing computing system. Log entries are determined to be available for processing. At least one instance of a Log Extractor Factory, Reader, and Transformation component are instantiated for reading and transforming the log data. Read log data is transformed into a common semantic format as transformed log data and transmitted in real-time to a Streaming Component for storage in an Enterprise Threat Detection (ETD) System. A recovery point is stored with a recovery timestamp indicating a next log entry in the log data to process.

Providing semantic connectivity between a java application server and enterprise threat detection system using a J2EE data

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Heidelberg, Germany

Thanh-Phong Lam