Anvilogic AI SOC vs Databricks Lakewatch: Side-by-Side Comparison (2026)

Anvilogic AI SOC: AI-powered SOC platform for detection engineering across SIEMs & data lakes. built by Anvilogic. Core capabilities include Detection-as-code builder for use case development, AI-driven detection recommendations and automated tuning, MITRE ATT&CK framework mapping and gap analysis..

Databricks Lakewatch: Open agentic SIEM on Databricks lakehouse for petabyte-scale SOC ops. built by Databricks. Core capabilities include Agentic AI-driven threat detection and response, Petabyte-scale security data ingestion and storage, Unified security data lakehouse architecture..

Both serve the Security Information and Event Management market but differ in approach, feature depth, and target audience.

Anvilogic AI SOC differentiates with Detection-as-code builder for use case development, AI-driven detection recommendations and automated tuning, MITRE ATT&CK framework mapping and gap analysis. Databricks Lakewatch differentiates with Agentic AI-driven threat detection and response, Petabyte-scale security data ingestion and storage, Unified security data lakehouse architecture.

Anvilogic AI SOC is developed by Anvilogic founded in 2019-01-01T00:00:00.000Z. Databricks Lakewatch is developed by Databricks. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Anvilogic AI SOC integrates with Databricks. Databricks Lakewatch integrates with Databricks Unity Catalog, Databricks Delta Lake, Databricks Delta Sharing, AWS, Azure and 1 more. Check integration compatibility with your existing security stack before deciding.

Anvilogic AI SOC and Databricks Lakewatch serve similar Security Information and Event Management use cases: both are Security Information and Event Management tools, both cover AI SOC, Detection Rules. Review the feature comparison above to determine which fits your requirements.