Lacework announced a product integration and go-to-market partnership. Making Lacework data easily available in the Snowflake Data Cloud enables organizations to quickly and cost-effectively analyze and report on risk and threats across their cloud and container environments. Lacework is a data-driven security platform built natively on top of Snowflake that takes tens of billions of security data points and ? through intelligent automation and a patented analytics engine surfaces the handful of security events that matter most in a given day. This visibility gives overloaded and under-resourced security and developer organizations the insights they need to remediate the most pressing security and performance issues quickly, without impacting the agility of the business. Together, Lacework and Snowflake bring the value of cloud security data to the rest of the business eliminating barriers between groups focused on protecting the organization. By combining Lacework data into their Snowflake security data lake, customers can: Gain flexibility with custom analytics: By bringing together cloud security findings from Lacework with other security data in Snowflake, customers can apply complex security policies and SLA logic to identify the issues that matter most to the organization; Power dashboards that serve a broader audience: Cloud security has many stakeholders, and organizations can build dashboards with the combined data that provide all stakeholders with an actionable view as broad or as filtered as needed; Respond to incidents more cost-effectively: Responding to a breach often requires fast access to a year or more of normalized cloud activity logs. Lacework uncovers valuable cloud security data and correlations that aid in incident investigations, and Snowflake's unique architecture supports efficient petabyte-scale investigations with no retention limits. The partnership includes go-to-market alignment designed to accelerate customer time to value through simplified integration and report templates covering common analytics use cases.