Transforming security Data analytics with IBM WATSONX.Data

In our organisation, we use Watsonx.data as a centralized data lakehouse and analytics layer to manage, analyse, and govern large-scale operational and security-related data across a hybrid environment. We leverage this tool primarily for security operations analytics, threat intelligence enrichment, and compliance-driven reporting across multiple customers in our managed security services setup.

Federated querying across multiple data sources as the security data is the most often distributed across SIEMs endpoint platforms, cloud storage and third-party system with IBM Watsonx.data allows our analysis to query data across multiple repositories without physically moving it, additionally tool has fine framed data governance and access control as it includes strong policy based governance role based access control and data linage tracking critical in Multi tenant environment.

Unified data access without data movement, we had to manually export and perform a download operation, then import it back to the QRadar SIEM. This was a time-consuming process and caused data duplication. Now with this federated querying, we can query multiple data sources directly without moving them additionally. This provides high-performance analytics on the long-term retention data.