Anvilogic runs AI automation across every SOC workload: onboard, search, detect, and investigate on top of the data and tools you already have.
No rip-and-replace. No SIEM required.
Anvilogic was built by practitioners who ran SOCs, wrote detections, and managed SIEM migrations before they ever built software.
That experience shows up in how we work with customers. When onboarding hits a wall or a detection needs tuning, we are in it with you. Not as a vendor, but as a team that has been on your side of the problem.
Built to support analysts doing the work, not replace them.













The Anvilogic Platform is an AI Operating System that powers the security graph — allowing you to build, execute, and maintain agents on top of any SIEM, data lake, or storage service.
Onboard Agents parse, normalize, and map data from any source — no data engineering project per feed. Search Agents run one query across Splunk, Snowflake, Sentinel, S3, and more — without moving the data. Detect Agents take you from threat intel to validated, deployed detection logic on every connected platform. Investigate Agents deliver automated triage, enrichment, and severity scoring before an analyst opens the case.
Blueprints tie your agents together into step-by-step workflows — security automated end to end.
Anvilogic works on top of your data with no migration, across storage services including Amazon S3, Azure Blob Storage, and Google Cloud Storage; SIEMs including Splunk, Azure Sentinel, CrowdStrike NG-SIEM, and Elastic; and data lakes including Snowflake, Databricks, Azure Data Explorer, Azure Log Analytics, Microsoft Fabric, Amazon Security Lake, and many more.
The Anvilogic Platform is an AI Operating System that powers the security graph — allowing you to build, execute, and maintain agents on top of any SIEM, data lake, or storage service.
Parse, normalize, and map data from any source — no data engineering project per feed.
One query across Splunk, Snowflake, Sentinel, S3, and more — without moving the data.
From threat intel to validated, deployed detection logic on every connected platform.
Automated triage, enrichment, and severity scoring before an analyst opens the case.
Tie your agents together into step-by-step workflows — security automated end to end.
Anvilogic works across storage services including Amazon S3, Azure Blob Storage, and Google Cloud Storage; SIEMs including Splunk, Azure Sentinel, CrowdStrike NG-SIEM, and Elastic; and data lakes including Snowflake, Databricks, Azure Data Explorer, Azure Log Analytics, Microsoft Fabric, Amazon Security Lake, and many more.
We were early adopters of the unified workflow Anvilogic and Databricks provide, and have brought detection engineering outcomes to business enablers recognized at the board level.
Anvilogic is central to our SOC strategy. As we diversify our data strategy to include data lakes, Anvilogic lets us continue SOC operations while giving analysts the ability to reach across data repos.

Anvilogic is the perfect solution because it doesn’t depend on any specific underlying data lake or SIEM. It isolates and abstracts the layer of data storage down to the schema.

Talk to a practitioner who has been on your side of the problem.