Snowflake announced the launch of a new Cybersecurity workload that enables cybersecurity teams to better protect their enterprises with the Data Cloud. Using Snowflake's 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 Cybersecurity workload, customers gain access to the power and elasticity of Snowflake's platform to natively handle structured, semi-structured, and unstructured logs.

Customers are able to efficiently store years of high-volume data, search with scalable on-demand compute resources, 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. Teams gain unified visibility across their security posture, eliminating data silos without prohibitive data ingest or retention costs.

Beyond threat detection and response, the Cybersecurity workload supports a broad range of use cases including security compliance, cloud security, identity and access, vulnerability management, and more.