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Anvilogic and Snowflake turn the Data Cloud into a full security data lake. Agentic SecOps on top of infinitely scalable storage,
at a fraction of traditional SIEM cost.
Customers have re-platformed their highest-volume security data from legacy SIEMs to Snowflake in a matter of months at a fraction of the cost.
Anvilogic translates your existing detections, onboards your feeds, and keeps coverage continuous through the entire move.
No data engineering required, no detection gaps, no re-training the team.
There's no rip and replace. Keep your SIEM running today, route new high-volume feeds to Snowflake, and run Agentic SecOps across both.
Anvilogic detects, triages, and hunts across your SIEM and your data lake as one — so every step of the move is on your schedule, and every step cuts cost.
Existing detections and workflows stay put. Anvilogic connects to Splunk or Sentinel as-is — day one, nothing moves.
Route voluminous feeds — EDR, cloud, network — to Snowflake instead of expanding your SIEM license. Onboarding agents land them in minutes.
Detection, triage, and hunting agents operate across SIEM and data lake as one — at a fraction of the cost of doing it all in the SIEM.
Set your data ingestion. Costs compare Snowflake against Splunk Cloud and Azure Sentinel all with 365 days of hot storage.
Estimates from published list pricing. Your actual numbers come from a POV.
Drop logs into S3, Azure Blob, or Google Cloud Storage. Snowflake picks them up automatically, and Anvilogic deploys the streams and tasks that run the ETL inside Snowflake — then deploys detections on top of the finished tables.
Bring security feeds into any object storage
Snowpipe picks data up from storage. Anvilogic-deployed streams and tasks run the ETL natively in Snowflake, no data engineering required.
Anvilogic deploys and tunes detections directly against the data in Snowflake tables.
Data onboarding agents bring new data feeds into Snowflake automatically. You can create your own workflow that samples the raw data feed, maps every field to your schema of choice, and deploy production ETL pipelines. Put a human review step where required and let the agents do the rest.
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We went from a hosted SIEM environment with 400 rules to nearly 2,400 production detections running natively on Snowflake in under six months. Anvilogic didn’t just help us migrate; they transformed our entire detection engineering program.
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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.
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Anvilogic is the perfect solution because it doesn't depend on any specific underlying data lake or SIEM solution. It isolates and abstracts the layer of data storage down to the schema, so we don't have to worry about making a big decision for the underlying storage solution. Instead, we have the flexibility to plan for the future.
Snowflake will be configured in the IaaS environment that you have and is available across AWS, GCP, and Azure.
You can also have a separate Snowflake account per environment if you are a multi-IaaS organization.
Data that already originates in IaaS that can be sent to cloud storage does not require a streaming tool and can be onboarded to Snowflake directly.
Configure your security tools & appliances to log to cloud storage services like S3, Blob storage, or GCP storage — Snowpipe then picks it up and ingests into Snowflake.
Yes, if you have a streaming tool (ex. Cribl, Apache NiFi, Databahn, etc.) you can send custom data sources directly to Anvilogic’s ingestion pipeline which can be routed to Snowflake.
Anvilogic can also pick up data directly from storage services and ingest into Snowflake automatically from there.
Yes, if you have third party Intel or CMDB tools that are required to be used within detection enrichment, those can be called via REST API and transported into a Snowflake table.
Anvilogic detections can then leverage those enrichment tables to enrich detections before those detections are stored in the Alert lake (upstream of SOAR).
Yes, Anvilogic can provide out of the box integrations for common vendor alerts and data collection for specific SaaS Security tools (ex. Crowdstrike FDR).
Tools not listed in our integration marketplace can be sent through the Custom Data Integration pipeline as a self service option.
Yes, Anvilogic has a data model and offers parsing and normalization code for any security data set that you want to use within the platform.
Yes, we can also work with OCSF data, and each data feed can be modified/controlled to customize to your needs.
Yes, Anvilogic can onboard IOCs from your third party threat intel tools (ex. Threat Connect) and use that data to create new detections, conduct ongoing exposure checks across your data feeds, or use it to enrich your alert output for triage analysts.
Yes, Anvilogic requires 2 warehouses to run.
• Ad-hoc Warehouse — Compute for queries to assist search, hunt, and IR
• Detect Warehouse — Run 24/7 executing scheduled tasks (detections) on a cron
See a live migration plan for your environment: what moves first, what stays, and what it saves.
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