
Open
- Unified views for semantic consistency across analytics and applications
- Metadata discovery and interoperability between log sources and applications for accelerated data-driven security analytics
- Normalized data model implemented in a relational data model and graph model

Simple
- Ready-to-use security data lake as a service. Cloud scale and cost-efficient on Snowflake
- We have stitched, connected, and correlated the data for you with our open data model
- Zero maintenance, zero operational overhead

Collaborative
- Store one copy of the security telemetry data and apply multiple use cases
- Share security data between SecOps, ITOps, and DevOps teams
- Leverage a consolidated view to create new analytic models that were previously not possible
Run fast queries on top of your security data cloud
- Execute a near-unlimited number of concurrent queries against your data lake without impacting performance
- Automatically register new files from your data lake with partition auto-refresh
- Accelerate data exploration with Snowflake Search Optimization
Capitalize on built-in security and governance
- Enable modern data collaboration with internal and external stakeholders via live, secure data sharing
- Provide granular-level access control for precise accessibility
- Work with data but without revealing confidential information thanks to data masking and external tokenization
No vendor lock-in
- Avoid “lock-in” to a specific technology and gain needed analytics flexibility with a shared, open data model
- Connectors and APIs that integrate with your security solutions, providing the flexibility to use different solutions
- Own and control your data with end-to-end encryption, access control, and compliance
Move to all hot storage
Leverage Snowflake’s low-cost hot data store and Search Optimization Service (SOS)
