For years, security teams have utilized legacy SIEMs as their centralized threat investigation and response platform – from setting up integrations to pull in data from various point products to writing and running correlation searches on top of that data to find threats in the environment. This traditional method of detecting threats manually in security is outdated. Analysts are constantly bogged down by manual tasks such as fine-tuning correlations to remove false positives or using the swivel-chair approach to find contextual data for security investigations. Moreover, analysts are not able to gain full visibility of an incident due to significant costs and retention limits in a traditional SIEM.
Snowflake and Lacework are joining forces to help security teams increase visibility and reduce manual processes. By leveraging Snowflake’s scalable, efficient cloud to store data without retention limits, security teams can utilize all relevant data to power security investigations. And with Lacework’s patented Polygraph automated detection technology, security teams can eliminate manual work to detect and triage alerts.
In this webinar, you will learn how to:
- Configure Lacework to ingest event data from numerous sources
- Use Lacework to detect vulnerabilities, misconfigurations, unusual activity, and potential attacks
- Combine Lacework-prepared data with other data sets to perform robust analytics and share across your organization with Snowflake