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Your Security Lakehouse, at 70% less than your SIEM

Anvilogic and Databricks turn the lakehouse into a full security data platform.
Agentic SecOps on top of infinitely scalable storage, at a fraction of traditional SIEM cost.

70% more cost effective than traditional SIEM ingest-and-retain pricing
Minutes to move data into Databricks with Anvilogic data onboarding agents
Petabytes of security data searchable at a fraction of the cost, with elastic Spark compute

Proven Migrations

From SIEM to Security Lakehouse in days, not years.

Customers have re-platformed their highest-volume security data from legacy SIEMs to Databricks in a matter of days 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.

MIGRATION PATH

• translates detections
• onboards feeds

Move at your own pace

There's no rip and replace. Keep your SIEM running today, route new high-volume feeds to Databricks, and run Agentic SecOps across both.

STEP 01

Keep Your SIEM

Existing detections and workflows stay put. Anvilogic connects to Splunk or Sentinel as-is — day one, nothing moves.

STEP 02

Add New Feeds to Databricks

Route voluminous feeds like EDR, cloud, network to storage instead of expanding your SIEM license. Onboarding agents land them in minutes.

STEP 03

Run Agentic SecOps on Top

Detection, triage, and hunting agents operate across SIEM and lakehouse as one — at a fraction of the cost of doing it all in the SIEM.

Customer Story: Roland Costea

Chief Information Security Officer, Enterprise Cloud Services, SAP

“The impacts that AI makes across the detection lifecycle, from tuning, to reducing false positives in alert monitoring, to leveraging a cost-effective lakehouse, fundamentally transform the detection engineering process.”

“We were early adopters of the unified workflow Anvilogic and Databricks provide and have been able to transform detection engineering outcomes into business enablers recognized at the board level.”

The Economics

Why security on Databricks costs ~70% less

SIEM pricing charges you for every TB you ingest and every day you keep it. The Lakehouse charges you for data you compute.

TYPICAL SAVINGS

• 70% lower annual cost vs. SIEM ingest pricing

  Traditional SIEM	Anvilogic + Databricks
  100%	~30%

No ingest tax

Data lands in your own object storage at cloud rates. You are never billed per GB indexed.

Compute you use

Spark clusters spin up for a detection job and spin down. Idle capacity costs nothing.

Retention is cheap

Keep a full year hot in Delta instead of rolling to cold archive after 90 days.

No data engineers

Anvilogic writes and deploys the DLT pipelines, so you do not staff a platform team to do it.

Architecture

Land data in storage. We do the rest.

Drop logs into S3, Azure Blob, or Google Cloud Storage. Databricks works directly on the data where it sits, and Anvilogic deploys the Python notebooks that carry it through bronze, silver, and gold as Delta Live Tables, then runs PySpark detections on the gold layer.

DATA ONBOARDING BLUEPRINT

Agents automate feed onboarding.

Data onboarding agents bring new data feeds into Databricks 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.

Blueprint Steps

1. Sample the raw feed, understand its shape, propose a gold domain.
2. Resolve timestamp format, timezone, and conversion.
3. Every source field mapped before the final SELECT.
4. Validate the SELECT runs inside a serverless task.
5. Document every decision made onboarding the feed.
6. Wrap the SELECT into a recurring ETL pipeline in prod.

Scale security on Databricks, without the SIEM bill

See a live migration plan for your environment: what moves first, what stays, and what it saves.