Our open data model brings security telemetry together into a unified taxonomy for a single source of truth. Detect and understand threats more effectively with richer context and all log data associated with metadata, enrichment, and context.
We give you a whole new search experience by combining the best aspect of OpenSearch, KQL, and the leading cloud scale data lake, Snowflake. You have fast access to all your data in one seamless data cloud where all your data is hot.
By having access to all your telemetry in a data lake with an open data model, contextually stitching the data together, you can improve your threat detection by utilizing user and entity behavior analytics (UEBA) and Insider Threat Detection (ITD), all with machine learning tracking any changes to their normal behavior patterns.
Many organizations consume their security budget to keep data online in hot storage, suffer through painfully slow search times, or resort to slow and cumbersome rehydration of their data from archival cold storage. With Elysium Analytics, you can retain years of data hot for instant access at a radically reduced cost.
There are several implementation models for augmenting your SIEM with Elysium Analytics. But the most common approach is to continue to load telemetry to the SIEM with alerting and correlation for general SOC workflows and to utilize Elysium Analytics for extended data retention of telemetry loading from the SIEM plus data from other sources not ingested by the SIEM.
We will handle data onboarding to our Security Data Lake and provide all the applications you need for full-text search, advanced analytics, and visualization.