Kaspersky Machine Learning for Anomaly Detection
- About Kaspersky Machine Learning for Anomaly Detection
- What's new
- Basic concepts of Kaspersky MLAD
- Kaspersky MLAD components
- Common deployment scenarios
- Telemetry and event data flow diagram
- Administering Kaspersky MLAD
- Installing the application
- Updating the application and rolling back to the previous installed version
- Getting started
- Starting and stopping Kaspersky MLAD
- Updating Kaspersky MLAD certificates
- First startup of Kaspersky MLAD
- Configuring Kaspersky MLAD
- Configuring the main settings of Kaspersky MLAD
- Configuring the Anomaly Detector service
- Configuring the Keeper service
- Configuring the Mail Notifier service
- Configuring the Similar Anomaly service
- Configuring the Stream Processor service
- Configuring the HTTP Connector
- Configuring the MQTT Connector
- Configuring the AMQP Connector
- Configuring the OPC UA Connector
- Configuring the KICS Connector
- Configuring the CEF Connector
- Configuring the WebSocket Connector
- Configuring the Event Processor service
- Configuring the statuses and causes of incidents
- Configuring logging of Kaspersky MLAD services
- Configuring time intervals for displaying data
- Configuring how the Kaspersky MLAD main menu is displayed
- Exporting and importing a configuration file for Kaspersky MLAD components
- Starting, stopping, and restarting services
- Managing tags
- Managing ML models and templates
- Configuring settings in the Event Processor section
- Managing user accounts
- Managing incident notifications
- Removing the application
- Connecting to Kaspersky MLAD and closing the session
- Kaspersky MLAD web interface
- Licensing the application
- Processing and storing data in Kaspersky MLAD
- Performing common tasks
- Scenario: Working with Kaspersky MLAD
- Viewing summary data in the Dashboard section
- Viewing incoming data in the Monitoring section
- Viewing data in the History section
- Viewing data in the Time slice section
- Viewing data for a specific preset in the Time slice section
- Selecting a specific branch of the ML model in the Time slice section
- Selecting a date and time interval in the Time slice section
- Navigating through time in the Time slice section
- Configuring how graphs are displayed in the Time slice section
- Working with events and patterns
- Working with incidents and groups of incidents
- Scenario: Analysis of incidents
- Viewing incidents
- Viewing the technical specifications of a registered incident
- Viewing incident groups
- Studying the behavior of the monitored asset at the moment when an incident was detected
- Adding a status, cause, expert opinion or note to an incident or incident group
- Exporting incidents to a file
- Working with ML models and templates
- Managing presets
- Viewing the status of a service
- Troubleshooting
- When connecting to Kaspersky MLAD, the browser displays a certificate warning
- The hard drive has run out of free space
- The operating system restarted unexpectedly
- Cannot connect to the Kaspersky MLAD web interface
- Graphs are not displayed in the History and Monitoring sections
- Events are not transmitted between Kaspersky MLAD and external systems
- Cannot load data to view in the Event Processor section
- Data is incorrectly processed in the Event Processor section
- Events are not displayed in the Event Processor section
- Previously created monitors and the specified attention settings are not displayed in the Event Processor section
- The localization language for Help needs to be changed before connecting to the application
- Contacting Technical Support
- Appendix
- Glossary
- Information about third-party code
- Trademark notices
Processing and storing data in Kaspersky MLAD
Processing and storing data in Kaspersky MLAD
This section contains information about data provision and folders for storing data.
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Article ID: 183827, Last review: Dec 7, 2022