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Security Analytics in the Post-SIEM era.

Vega's Security Analytics Mesh (SAM) enables AI-powered detection across all data sources without needing migration. You can query any data using natural language, KQL, or Vega's MCP.

Vega SAM results table showing 3011 Okta login events above a KQL query panel
Vega

Universal Querying Against All Data Sources

Utilize natural language or KQL to build multi-cell notebooks against all of your datasets as if they were in the same place and the same OCSF schema. Zero data migration, ingestion, or parsing.

Isometric diagram of the SAM platform inside a notebook window

Universal Querying Against All Data Sources

Utilize natural language or KQL to build multi-cell notebooks against all of your datasets as if they were in the same place and the same OCSF schema. Zero data migration, ingestion, or parsing.

Query results table in the SAM notebook

Unlock the Potential of Low-Cost Object Storage

With SAM, you can start shifting data to cheap object storage across all 3 major clouds, without compromising on performance, analytics, or detection. Always maintaining a single unified view across everything.

Data shifting to low-cost object storage across the three major clouds

AI-Driven Hunting and Investigation

Empower analysts (or agents via MCP) with SAM's AI-native investigation capabilities. From fixing and optimizing queries to fully AI-Driven hunts, now that you have access to all of your data, AI's full potential can be unleashed.

AI-driven hunting and investigation workflow in SAM