Anvilogic AI SOC vs Scanner: 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..

Scanner: Security data lake platform for threat detection via S3-native log indexing. built by Scanner. Core capabilities include S3-native log indexing with no data movement required, Continuous real-time threat detection on full data stream, Historical log search across years of data in seconds..

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. Scanner differentiates with S3-native log indexing with no data movement required, Continuous real-time threat detection on full data stream, Historical log search across years of data in seconds.

Anvilogic AI SOC is developed by Anvilogic founded in 2019-01-01T00:00:00.000Z. Scanner is developed by Scanner. 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. Scanner integrates with AWS CloudTrail, Azure, Google Cloud, Okta, GitHub and 2 more. Check integration compatibility with your existing security stack before deciding.

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