Anvilogic + Snowflake:
Adopt a Security Data Lake Without Ripping & Replacing Your SIEM
Security operations teams struggle to detect high risk threats in their environment while managing spiraling SIEM costs due to SIEM vendor lock-in. Adopting a more scalable data platform like Snowflake could address these challenges, but ripping and replacing Splunk is impractical for enterprise security teams.
Anvilogic decouples your security analytics from your logging platforms giving you the freedom to choose the most effective and affordable data platform for each threat detection use case with minimal disruption to your downstream processes.
Build SQL Detections in Minutes
“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. "
Unify Your SIEM &
Security Data Lake
Cut SIEM Costs Without Rip-and-Replace
Build SQL Detections in Minutes
Migrate to Snowflake With Ease
Calculate Your Cost Savings to Adopt Snowflake Over Time with Anvilogic
*Snowflake costs are based on Snowflake enterprise level licensing
*Costs savings do not include Anvilogic annual licensing.
** Splunk costs are excluding storage, infrastructure, management, and maintenance of Splunk Infrastructure
Customer
Benefits
Prepare for new and future cloud workloads without being a cloud expert, and migrate new and existing detections to Snowflake for a cost-effective alternative to legacy solutions.
Reduce hours of development with out-of-the-box detection content that’s customizable, recommended to your unique environment, and mapped to MITRE ATT&CK framework.
Use a low-code builder to create behavioral pattern-based detections and leverage a generative AI chatbot as your detection engineering co-pilot.
Let the machines do the work for you with AI-powered recommendations across the detection engineering lifecycle so you can focus on high-value, high-impact activities.