In today’s enterprises, security data is typically stored in multiple data silos where each security solution collects and stores its own data. Solutions for behavioral monitoring, network anomaly detection, advanced malware detection, user scoring, correlation engines, etc., all require separate databases. As a result, each security solution is collecting and storing much the same duplicate data, resulting in exponential storage growth.


Our data lake is architected to store all security-related data in one data warehouse, enriching it with meta-data, and making it available for all tools and solutions. In the past, large enterprises attempted to build a data lake on Hadoop. However, this has turned out to be a very complicated, expensive, and time-consuming effort. Elysium has eliminated the hurdle of setting up and maintaining a data lake by leveraging the Snowflake on-demand cloud-scale data warehouse platform. With Elysium Analytics and Snowflake, you only pay for the compute and storage you consume and there is zero maintenance overhead.

True cloud scale for all your security data

Through the years

Unique Open Data Model Features

Data model features
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Data Model Hierarchy with normalized-event definitions

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Preserve data source fidelity through raw base tables

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Context table: user, network, endpoint, VP

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Extensible with third party data models

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Abstraction layer for seamless flow of new sources into analytics

Open Data Model Layers

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Structured and Unstructured Storage
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Raw Data Tables

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Enriched, Parsed, Not Normalized
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Source Mapping Views
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