Kaspersky Unified Monitoring and Analysis Platform
- Kaspersky Unified Monitoring and Analysis Platform Help
- About Kaspersky Unified Monitoring and Analysis Platform
- Program architecture
- Program licensing
- About the End User License Agreement
- About the license
- About the License Certificate
- About the license key
- About the key file
- Data provision in Kaspersky Unified Monitoring and Analysis Platform
- Adding a license key to the program web interface
- Viewing information about an added license key in the program web interface
- Removing a license key in the program web interface
- Administrator's guide
- Installing and removing KUMA
- Program installation requirements
- Ports used by KUMA during installation
- Synchronizing time on servers
- About the inventory file
- Installation on a single server
- Distributed installation
- Distributed installation in a high availability configuration
- Additional requirements for deploying KUMA Core in Kubernetes
- Installing KUMA on a Kubernetes cluster from scratch
- Migrating the KUMA Core to a new Kubernetes cluster
- KUMA Core availability under various scenarios
- Managing Kubernetes and accessing KUMA
- Time zone in a Kubernetes cluster
- Managing KUMA web console certificates in a high availability configuration
- KUMA backup
- Modifying the configuration of KUMA
- Updating previous versions of KUMA
- Troubleshooting update errors
- Delete KUMA
- Working with tenants
- Managing users
- KUMA services
- Services tools
- Service resource sets
- Creating a storage
- Creating a correlator
- Creating a collector
- Predefined collectors
- Creating an agent
- Configuring event sources
- Configuring receipt of Auditd events
- Configuring receipt of KATA/EDR events
- Configuring Kaspersky Security Center event receiving in CEF format
- Configuring receiving Kaspersky Security Center event from MS SQL
- Creating an account in the MS SQL database
- Configuring the SQL Server Browser service
- Creating a secret in KUMA
- Configuring a connector
- Configuring the KUMA Collector for receiving Kaspersky Security Center events from an MS SQL database
- Installing the KUMA Collector for receiving Kaspersky Security Center events from the MS SQL database
- Configuring receipt of events from Windows devices using KUMA Agent (WEC)
- Configuring audit of events from Windows devices
- Configuring centralized receipt of events from Windows devices using the Windows Event Collector service
- Granting permissions to view Windows events
- Granting permissions to log on as a service
- Configuring the KUMA Collector for receiving events from Windows devices
- Installing the KUMA Collector for receiving events from Windows devices
- Configuring forwarding of events from Windows devices to KUMA using KUMA Agent (WEC)
- Configuring receipt of events from Windows devices using KUMA Agent (WMI)
- Configuring receipt of PostgreSQL events
- Configuring receipt of IVK Kolchuga-K events
- Configuring receipt of CryptoPro NGate events
- Configuring receipt of Ideco UTM events
- Configuring receipt of KWTS events
- Configuring receipt of KLMS events
- Configuring receipt of KSMG events
- Configuring receipt of PT NAD events
- Configuring receipt of events using the MariaDB Audit Plugin
- Configuring receipt of Apache Cassandra events
- Configuring receipt of FreeIPA events
- Configuring receipt of VipNet TIAS events
- Configuring receipt of Nextcloud events
- Configuring receipt of Snort events
- Configuring receipt of Suricata events
- Configuring receipt of FreeRADIUS events
- Configuring receipt of VMware vCenter events
- Configuring receipt of zVirt events
- Configuring receipt of Zeek IDS events
- Monitoring event sources
- Managing assets
- Adding an asset category
- Configuring the table of assets
- Searching assets
- Exporting asset data
- Viewing asset details
- Adding assets
- Assigning a category to an asset
- Editing the parameters of assets
- Archiving assets
- Deleting assets
- Updating third-party applications and fixing vulnerabilities on Kaspersky Security Center assets
- Moving assets to a selected administration group
- Asset audit
- Custom asset fields
- Critical information infrastructure assets
- Integration with other solutions
- Integration with Kaspersky Security Center
- Configuring Kaspersky Security Center integration settings
- Adding a tenant to the list for Kaspersky Security Center integration
- Creating Kaspersky Security Center connection
- Editing Kaspersky Security Center connection
- Deleting Kaspersky Security Center connection
- Importing events from the Kaspersky Security Center database
- Kaspersky Endpoint Detection and Response integration
- Integration with Kaspersky CyberTrace
- Integration with Kaspersky Threat Intelligence Portal
- Integration with R-Vision Security Orchestration, Automation and Response
- Integration with Active Directory, Active Directory Federation Services and FreeIPA
- Connecting over LDAP
- Enabling and disabling LDAP integration
- Adding a tenant to the LDAP server integration list
- Creating an LDAP server connection
- Creating a copy of an LDAP server connection
- Changing an LDAP server connection
- Changing the data update frequency
- Changing the data storage period
- Starting account data update tasks
- Deleting an LDAP server connection
- Authentication using domain accounts
- Connecting over LDAP
- NCIRCC integration
- Integration with the Security Orchestration Automation and Response Platform (SOAR)
- Kaspersky Industrial CyberSecurity for Networks integration
- Integration with Neurodat SIEM IM
- Kaspersky Automated Security Awareness Platform
- Sending notifications to Telegram
- UserGate integration
- Integration with Kaspersky Web Traffic Security
- Integration with Kaspersky Secure Mail Gateway
- Importing asset information from RedCheck
- Configuring receipt of Sendmail events
- Integration with Kaspersky Security Center
- Managing KUMA
- Working with geographic data
- Installing and removing KUMA
- User guide
- KUMA resources
- Operations with resources
- Destinations
- Working with events
- Filtering and searching events
- Selecting Storage
- Generating an SQL query using a builder
- Manually creating an SQL query
- Filtering events by period
- Displaying names instead of IDs
- Presets
- Limiting the complexity of queries in alert investigation mode
- Saving and selecting events filter configuration
- Deleting event filter configurations
- Supported ClickHouse functions
- Viewing event detail areas
- Exporting events
- Configuring the table of events
- Refreshing events table
- Getting events table statistics
- Viewing correlation event details
- Filtering and searching events
- Normalizers
- Aggregation rules
- Enrichment rules
- Correlation rules
- Filters
- Active lists
- Viewing the table of active lists
- Adding active list
- Viewing the settings of an active list
- Changing the settings of an active list
- Duplicating the settings of an active list
- Deleting an active list
- Viewing records in the active list
- Searching for records in the active list
- Adding a record to an active list
- Duplicating records in the active list
- Changing a record in the active list
- Deleting records from the active list
- Import data to an active list
- Exporting data from the active list
- Predefined active lists
- Dictionaries
- Response rules
- Notification templates
- Connectors
- Viewing connector settings
- Adding a connector
- Connector settings
- Predefined connectors
- Secrets
- Segmentation rules
- Context tables
- Viewing the list of context tables
- Adding a context table
- Viewing context table settings
- Editing context table settings
- Duplicating context table settings
- Deleting a context table
- Viewing context table records
- Searching context table records
- Adding a context table record
- Editing a context table record
- Deleting a context table record
- Importing data into a context table
- Exporting data from a context table
- Example of incident investigation with KUMA
- Incident conditions
- Step 1. Preliminary steps
- Step 2. Assigning an alert to a user
- Step 3. Check if the triggered correlation rule matches the data of the alert events
- Step 4. Analyzing alert information
- Step 5. False positive check
- Step 6. Determining alert severity
- Step 7. Incident creation
- Step 8. Investigation
- Step 9. Searching for related assets
- Step 10. Searching for related events
- Step 11. Recording the causes of the incident
- Step 12. Incident response
- Step 13. Restoring assets operability
- Step 14. Closing the incident
- Analytics
- Dashboard
- Reports
- Widgets
- Working with alerts
- Working with incidents
- About the incidents table
- Saving and selecting incident filter configuration
- Deleting incident filter configurations
- Viewing information about an incident
- Incident creation
- Incident processing
- Changing incidents
- Automatic linking of alerts to incidents
- Categories and types of incidents
- Interaction with NCIRCC
- Special consideration for successful export from the KUMA hierarchical structure to NCIRCC
- Exporting data to NCIRCC
- Supplementing incident data on request
- Sending files to NCIRCC
- Sending incidents involving personal information leaks to NCIRCC
- Communication with NCIRCC experts
- Supported categories and types of NCIRCC incidents
- Notifications about the incident status change in NCIRCC
- Retroscan
- KUMA resources
- Contacting Technical Support
- REST API
- Creating a token
- Configuring permissions to access the API
- Authorizing API requests
- Standard error
- REST API v1 operations
- Viewing a list of active lists on the correlator
- Import entries to an active list
- Searching alerts
- Closing alerts
- Searching assets
- Importing assets
- Deleting assets
- Searching events
- Viewing information about the cluster
- Resource search
- Loading resource file
- Viewing the contents of a resource file
- Importing resources
- Exporting resources
- Downloading the resource file
- Search for services
- Tenant search
- View token bearer information
- Dictionary updating in services
- Dictionary retrieval
- Viewing custom fields of the assets
- Creating a backup of the KUMA Core
- Restoring the KUMA Core from the backup
- Viewing the list of context tables in the correlator
- Importing records into a context table
- Exporting records from a context table
- REST API v2 operations
- Viewing a list of active lists on the correlator
- Import entries to an active list
- Searching alerts
- Closing alerts
- Searching assets
- Importing assets
- Deleting assets
- Searching events
- Viewing information about the cluster
- Resource search
- Loading resource file
- Viewing the contents of a resource file
- Importing resources
- Exporting resources
- Downloading the resource file
- Search for services
- Tenant search
- View token bearer information
- Dictionary updating in services
- Dictionary retrieval
- Viewing custom fields of the assets
- Creating a backup of the KUMA Core
- Restoring the KUMA Core from the backup
- Viewing the list of context tables in the correlator
- Importing records into a context table
- Exporting records from a context table
- Appendices
- Commands for components manual starting and installing
- Integrity check of KUMA files
- Normalized event data model
- Configuring the data model of a normalized event from KATA EDR
- Alert data model
- Asset data model
- User account data model
- KUMA audit events
- Event fields with general information
- User was successfully signed in or failed to sign in
- User login successfully changed
- User role was successfully changed
- Other data of the user was successfully changed
- User successfully logged out
- User password was successfully changed
- User was successfully created
- User role was successfully assigned
- User role was successfully revoked
- User access token was successfully changed
- Service was successfully created
- Service was successfully deleted
- Service was successfully reloaded
- Service was successfully restarted
- Service was successfully started
- Service was successfully paired
- Service status was changed
- Storage partition was deleted by user
- Storage partition was deleted automatically due to expiration
- Active list was successfully cleared or operation failed
- Active list item was successfully changed, or operation was unsuccessful
- Active list item was successfully deleted or operation was unsuccessful
- Active list was successfully imported or operation failed
- Active list was exported successfully
- Resource was successfully added
- Resource was successfully deleted
- Resource was successfully updated
- Asset was successfully created
- Asset was successfully deleted
- Asset category was successfully added
- Asset category was deleted successfully
- Settings were updated successfully
- Tenant was successfully created
- Tenant was successfully enabled
- Tenant was successfully disabled
- Other tenant data was successfully changed
- Updated data retention policy after changing drives
- The dictionary was successfully updated on the service or operation was unsuccessful
- Response in Active Directory
- Response via KICS for Networks
- Kaspersky Automated Security Awareness Platform response
- KEDR response
- Correlation rules
- Sending test events to KUMA
- Time format
- Mapping fields of predefined normalizers
- Deprecated resources
- Information about third-party code
- Trademark notices
- Glossary
ClickHouse cluster structure
A ClickHouse cluster is a logical group of devices that possess all accumulated normalized KUMA events. It consists of one or more logical shards.
A shard is a logical group of devices that possess a specific portion of all normalized events accumulated in the cluster. It consists of one or more replicas. Increasing the number of shards lets you do the following:
- Accumulate more events by increasing the total number of servers and disk space.
- Absorb a larger stream of events by distributing the load associated with an influx of new events.
- Reduce the time taken to search for events by distributing search zones among multiple devices.
A replica is a device that is a member of a logical shard and possesses a single copy of that shard's data. If multiple replicas exist, it means multiple copies exist (the data is replicated). Increasing the number of replicas lets you do the following:
- Improve high availability.
- Distribute the total load related to data searches among multiple machines (although it's best to increase the number of shards for this purpose).
A keeper is a device that participates in coordination of data replication at the whole cluster level. At least one device per cluster must have this role. The recommended number of the devices with this role is 3. The number of devices involved in coordinating replication must be an odd number. The keeper and replica roles can be combined in one machine.