Security Experts:

Snowflake Launches Cybersecurity Workload to Find Threats Across Massive Data Sets

Data cloud company Snowflake (NYSE: SNOW) is the latest enterprise technology firm looking to help fuel the massive data lakes that power enterprise security programs.

Snowflake this week launched a new Cybersecurity workload that helps cybersecurity teams to better protect their enterprises using its platform and an extensive ecosystem of partners delivering security capabilities with connected applications, cybersecurity teams can quickly gain visibility and automation at cloud-scale. 

“With Snowflake’s Data Cloud, cybersecurity teams can break down data silos to enable better visibility, deliver advanced analytics that remove manual processes, and give security teams a clearer picture of evolving risks and threats coming their way,” Omer Singer, Head of Cybersecurity Strategy at Snowflake, explained in a blog post.

With Snowflake’s Data Cloud, customers can unify logs and enterprise data and store virtually unlimited amounts of “hot” data cost effectively for years.

“Customers are able to efficiently store years of high-volume data, search with scalable on-demand compute resources,” Snowflake says, “and gain insights using universal languages like SQL and Python, currently in private preview. With Snowflake, organizations can also unify their security data with enterprise data in a single source of truth, enabling contextual data from HR systems or IT asset inventories to inform detections and investigations for higher fidelity alerts, and running fast queries on massive amounts of data.” 

Snowflake Ventures, the company’s VC arm, has invested in cybersecurity firms Hunters.ai, Lacework, Panther, Securonix and Immuta, which integrate with the Snowflake data cloud to provide cybersecurity capabilities via connected applications. 

Snowflake says security teams at companies like CSAA Insurance Group, DoorDash, Dropbox, Figma, and Netgear are already using its Cybersecurity workload.

“With access to all of the data sources in Snowflake as our security data lake, we have better correlations across multiple attack surfaces and analytics are automatically actionable. And as a result, it has led to faster incident response from our side,” said Pallavi Damle, Vice President of Enterprise Cybersecurity at Netgear.

Beyond threat detection and response, Snowflake says the new workload supports use cases including security compliance, cloud security, identity and access, vulnerability management, and more.  

Read: Inside the Battle to Control Enterprise Security Data Lakes

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For more than 10 years, Mike Lennon has been closely monitoring the threat landscape and analyzing trends in the National Security and enterprise cybersecurity space. In his role at SecurityWeek, he oversees the editorial direction of the publication and is the Director of several leading security industry conferences around the world.