Anvilogic + Snowflake:
Adopt a Security Data Lake Without Ripping & Replacing Your SIEM

Remain flexible as your data needs change without sacrificing your security (or sanity). Adopt a more scalable data platform like Snowflake without ripping and replacing your existing SIEM. Build and deploy detections across multiple data platforms using Anvilogic as your security analytics layer.

Anvilogic decouples your security analytics from your logging platforms giving you the freedom to choose the data strategy that makes sense for your organization. Deploy threat detection use cases in Snowflake and other platforms with minimal disruption to your downstream processes.

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The World's Best SOC Teams Use Anvilogic

Unify Your SIEM &
Security Data Lake

Cut SIEM Costs Without Rip-and-Replace

Seamlessly adopt a scalable and cost-effective data lake for high-volume
data sources and machine learning use cases without ripping and replacing
your existing SIEM like Splunk.

Remove the added cost of cold data storage along with the complexity
and unpredictability of additional charges for data retrieval or rehydration
normally seen with a traditional SIEM.

Protect your investment in your existing SIEM’s rules and processes while addressing dark data or scalability challenges by adopting Snowflake to shore up your security detection coverage.

Enable your SOC to scale up and down instantly per investigation scale and urgency with Snowflake.

Build SQL Detections in Minutes

Build behavior-based SQL detection rules in minutes with our Low-Code Detection builder, automating the detection engineering lifecycle with Detection-as-Code principles.

Easily transform your existing detection content rules from Splunk, Azure, or Databricks to Snowflake rules and access thousands of customizable, ready-to-deploy use cases to suit your specific threat priorities.

Reduce the SQL learning curve by turning your natural language questions into advanced SQL search logic with our AI Copilot, expertly trained by SOC personas.

Alleviate detection engineering management with automatic MITRE ATT&CK mapping, version control, custom tagging, integrations, and more so you can focus on high-impact tasks.

Migrate to Snowflake With Ease

Incrementally shift high-volume use cases and data feeds from your
existing SIEM to Snowflake with minimal disruption to your team.

Automatically onboard new cloud logs to Snowflake or transfer existing data
sources from other hybrid and multi-cloud data repositories

Maximize cost savings by prioritizing which detection use cases and data feeds to migrate to Snowflake first with our AI-powered Insights.

Calculate Your Cost Savings to Adopt Snowflake Over Time with Anvilogic

Enterprise SOC teams use Anvilogic as the security analytics layer on top of the data platforms they choose. This gives you the choice to incrementally migrate all or some of your security data from your existing SIEM into a data lake like Snowflake for significant cost savings without sacrificing security.

Step 1

Enter your Data

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Step 2

See the Results with

Total Logging Compute Costs

$91,980.00

Total Logging Storage Costs

$1,728.00

Total Logging Estimated Costs with Snowflake

$93,708.00

*Snowflake costs are based on Snowflake enterprise level licensing

Compare to:

$500,000.00

(est. cost saving 81.26%)

$710,000.00

(est. cost saving 86.80%)

$631,450.00

(est. cost saving 85.16%)

*Costs savings do not include Anvilogic annual licensing.

** Splunk costs are excluding storage, infrastructure, management, and maintenance of Splunk Infrastructure

Anvilogic + Snowflake

Detection Engineering Dispatch

Leveraging AI for Workloads on Snowflake

Watch Michael Hart, Principal Data Scientist at Anvilogic, break down how you can leverage AI on large data workloads, reduce noise, and produce higher fidelity alerts in your detection engineering lifecycle.

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Solution Guide

Unify Your SIEM and Data Lake Without Replacing Splunk

Understand the current security data challenges for enterprise SOCs and learn how Anbilogic enables detection engineers to integrate their current SIEM seamlessly with a scalable and cost-effective data cloud like Snowflake.

Read the Guide

On-Demand Webinar

Strategies for Decoupling Your Security Analytics and Adopting a Modern Security Data Lake

In this discussion, Prabath Karanth, VP—Global Head of Security and Trust at Navan and Omer Singer, previously Head of Cybersecurity Strategy at Snowflake and now Anvilogic's VP of Strategy, explore the critical aspects of modernizing SecOps.

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Case Study

Fortune 500 Financial Services

Leveraging Snowflake and Anvilogic, this FSI enterprise deployed 75 detections in one week, saving 5,000+ engineering hours while successfully detecting a red team attack and enhancing coverage across 20+ MITRE ATT&CK techniques.