Kaspersky Releases KUMA 4.6 with Knowledge Base, External LLM Support and Automated Regex Generation
Kaspersky has released Kaspersky Unified Monitoring and Analysis Platform (KUMA) version 4.6, bringing significant updates to its SIEM solution used for security event monitoring and analysis.
The most substantial change involves a completely redesigned mechanism for delivering vendor content such as normalizers, correlation rules and other detection materials. The new knowledge base replaces the previous delivery system as the primary tool while retaining the old method for compatibility reasons. Analysts can now search and select content more efficiently for specific use cases, and emergency packages containing detection rules for newly discovered attacks can be distributed faster.
KUMA 4.6 also introduces support for connecting external large language models that are compatible with the OpenAI API. Supported models include GPT-4, Llama 3 and GLM-5.2, which can be hosted either in the cloud or within the customer’s own infrastructure. When deployed on-premises, the Kaspersky Investigation & Response Assistant can perform event analysis and assist with investigations without transmitting data to external services.
One of the standout AI features allows the assistant to automatically generate regular expressions for parsing logs. Security administrators simply provide sample log entries, and the system attempts to create the appropriate Regex patterns itself.
The platform’s integration capabilities have been expanded with support for SFTP and SMB protocols for retrieving data from file repositories, as well as ODBC drivers that enable connections to various database management systems.
Finally, the interface has been refreshed and now includes a dark theme, addressing long-standing requests from corporate users who frequently work during nighttime incident response shifts.
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