Sap Se

Kathrin Nos

Thorsten Menke

Jona Hassforther

Thomas Kunz

Marco Rodeck

Florian Chrosziel

Harish Mehta

Hartwig Seifert

Wei-Guo Peng

Eugen Pritzkau

Lin Luo

Rita Merkel

Nan Zhang

Volker Guzman

Omar-Alexander Al-Hujaj

Jens Baumgart

Anne Jacobi

Hristina Dinkova

Florian Kraemer

Thanh-Phong Lam

Stefan Rossmanith

Michael Engler

Matthias Vogel

Bjoern Friedmann

Bjoern Christoph

Iouri Loukachev

Klaus Kiefer

Marvin Klose

Steve Trester

Joerg Heitmann

Robert Girts

According to some embodiments, a system and method are provided comprising two or more components; a cross-feature toggle module; a cross-feature toggle processor in communication with the cross-feature toggle module and operative to execute processor-executable process steps to cause the system to: receive a request to execute an application; determine a new feature element is present; determine a cross-feature toggle is present, wherein the feature toggle includes an active state and an inactive state; determine whether the cross-feature toggle is in an active state for each of a respective two or more components; in a case the cross-feature toggle is in the active state for each of the two or more components, execute the application with the new feature element; and in a case the cross-feature toggle is in the active state for less than all of the two or more components, execute the application without the new feature element. Numerous other aspects are provided.

Cross feature toggles

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

Metadata describing access control capabilities of a database technology resource is received from an access control system. Access restrictions for accessing data of the database resource by users of an application that have a role are received from an application developer. A role maintenance user interface is generated, using the metadata, for assigning the role to users of the application. Attribute values for creating an instance of the role for a user are received, using the role maintenance user interface. The instance of the role is created for the user based on the received attribute values and the access restrictions. A request from the application for the user to access the database resource is received by the access control system when the user is logged into the application. The access restrictions are applied by the access control system in the database resource when the database resource is accessed.

Using domains for flexible data access in heterogeneous system landscapes

A computer-implemented method generates a trigger registration for a selected triggering type. The generated trigger registration is stored in a triggering persistency. A received event from an event persistency is analyzed and data associated with the analyzed event is compared with the triggering persistency. Based on the comparison and using a pattern execution framework, an enterprise threat detection (ETD) pattern is processed to perform actions responsive to the received event.

Realtime triggering framework

One or more entities are selected for which logged Events are to be displayed in an Event Series Chart. One or more filters and a timeframe are selected. Events are fetched from one or more selected log files based on the one or more selected filters and the timeframe. The fetched Events are displayed in an Event Series Chart according to an associated timestamp and identification Event property value associated with each fetched Event.

Displaying a series of events along a time axis 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 filter is selected from one or more filters defined for an ETD Network Graph. Events are fetched from the selected log files based on the selected filter and entities identified based on the fetched Events. Relationships are determined between the identified entities, and the determined relationships and identified entities are displayed in the ETD Network Graph. An identified entity is selected to filter data in an ETD Event Series Chart. An Event is selected in the ETD Event Series Chart to display Event Attributes in an Event Attribute Dialog. An Event Attribute is selected in the Event Attribute Dialog to filter Events in the ETD Event Series Chart.

Analysis of complex relationships among information technology security-relevant entities using a network graph

An enterprise threat detection (ETD) forensic workspace is established according to a particular timeframe and permitting defining a selection of data types from available log data for an evaluation of events associated with one or more entities. A chart is defined illustrating a graphical distribution of a particular data type in the forensic workspace. A snapshot associated with the chart is generated, the snapshot saving a copy of all data necessary to re-create the chart into an associated snapshot object. The snapshot is associated with a snapshot page for containing the snapshot and the snapshot page is saved within the ETD forensic workspace.

Snapshot of a forensic investigation for enterprise threat detection

A log entry is received at a streaming component of an enterprise threat detection (ETD) system from a real-time push application programming interface (API) associated with a backend computing system. The received log entry is parsed using a runtime parser associated with the streaming component into mapped data in an ETD format compatible with the ETD system. The mapped data is transferred to an ETD streaming project and enriched. The streaming component writes the enriched data into a database associated with the ETD system.

Real-time push API for log events in enterprise threat detection

An enterprise threat detection (ETD) pattern is executed against received log event data from one or more computing systems. Using the ETD pattern, an event threshold is determined to have been exceeded. Entities associated with an alert created based on the exceeded threshold are determined and, at runtime, a severity value is calculated for each determined entity associated with the alert. A selection is received of a determined entity on which to perform mitigation action activities. Mitigation action activities associated with the determined entity are written into an activity record data record. A mitigation action activity is closed on the determined entity and a determination performed that all mitigation action activities associated with all entities related to the created alert have been closed. The created alert is closed.

Alerts based on entities in security information and event management products

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

The present disclosure describes methods, systems, and computer program products for performing a frequency domain analysis of activity data for a computer system. One computer-implemented method receiving time domain activity data for a computer system, wherein the time domain activity data comprise activity records associated with the computer system in a time domain; computing, by a hardware processor, frequency domain activity data based on the time domain activity data; and displaying the frequency domain activity data.

Using frequency analysis in enterprise threat detection to detect intrusions in a computer system

A path associated with a set of selected log data is defined. An indication is received on a graphical user interface (GUI) to generate a bubblegram associated with the path, wherein the bubblegram comprises one or more bubbles, each bubble representing a particular dimension associated with the selected path. The one or more bubbles are rendered on the GUI according to a performed ranking of the one or more bubbles. A bubble is selected to generate a filter for the path based on the dimension associated with the bubble. A subsequent bubblegram is rendered based on a narrowed set of the selected log data.

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Nussloch, Germany

Kathrin Nos