Anvilogic + Snowflake:
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Enterprise security teams can save on legacy SIEM licencing costs while improving SOC maturity by adopting a SIEM-less security data lake architecture using Anvilogic for Snowflake. Effortlessly build detections in minutes, hunt more efficiently, and investigate alerts in your Snowflake security data lake.

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Start a 30-day free trial of the Anvilogic platform and see how it democratizes Snowflake’s cybersecurity potential for modern security operations teams.

You’ll be able to experience how Anvilogic enables you to:

Adopt a SIEM-less Security Data Lake Architecture:
Effortlessly scale, correlate, and build detections in minutes on top of Snowflake without being an SQL expert with our GenAI detection engineering assistant
Bridge your Splunk, Snowflake, and Azure environments:

Incrementally migrate from your legacy SIEM to a modern security data lake at your own pace
Deploy Detections in Minutes:
Save hundreds of hours by automating your detection engineering lifecycle and implementing detection as code with our low/no code builder and Armory of detection content
Automate Tuning & Triage with AI:

Tune detections with AI insights based on common false positive strings and patterns and escalate any events our hunting analytics deem to be highly suspicious
Improve Your Security Maturity Score:

Increase your detection coverage by up to 50% for your priority techniquest using the MITRE ATT&CK framework
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Build SQL Detections in Minutes

Omer Singer

Head of Cybersecurity Strategy

“ChatGPT is already helping security data lake adoption. While security data lakes are known to be up to 90% more cost effective than legacy SIEMs as a data platform, they require data skills that are still rare in security orgs.

I've been particularly impressed with how Anvilogic created a detection engineering AI assistant that takes a question in plain English ("where do we have powershell events that connect with a remote IP?") and converts it to SQL for use in threat detection. This is the kind of product innovation that takes the raw potential of Snowflake for cybersecurity and democratizes it in a way that any size team can benefit. "

Adopt a SIEM-less Security Data Lake Architecture

Many modern security teams have migrated from their legacy SIEM and now use Anvilogic as their security analytics platform on top of Snowflake’s cost-effect security data lake. Anvilogic’s Detection Engineering and Hunting platform democratizes Snowflake for the SOC by lowering the barrier to entry for data engineering skills eliminating SQL language barriers to detect threats across disparate data sources.

Migrate from Your Traditional SIEM Over Time

Most enterprise organizations can’t rip and replace their SIEM overnight and need a path to incrementally migrate at their own pace to save on licencing costs. Anvilogic is the only platform that allows you to do this by serving as a bridge between your legacy SIEM and modern security data lake, so that your SOC team can effortlessly scale, correlate, and build detections in minutes regardless of your logging platforms.

Why SIEM-less? 
Leave Your Data Where It Is

Why the term SIEM-less? Unlike other SIEMs with modern backends on Snowflake, Anvilogic is the only platform that allows you to leave your data where it is without requiring you to ingest all of your data through our platform. We effectively separate your security analytics layer from your logging layer. This provides you with the ability to use our detection engineering and hunting platform across Snowflake, Splunk, and Azure environments.