Log mesh

Leverage data from across providers and technologies

Challenge:Centralizing and normalizing logs at scale is a difficult and time-consuming task. It requires pipelines, parsers, and a high investment. Some logs are more important than others, causing tension on the decision of what to store or not.

Solution:By allowing security teams to leave data where it is, or optimize their storage architecture based on business values, Trout enables security teams to have greater flexibility and visibility. Teams can now deliver use cases like: joining data from a SIEM with logs in S3 or Snowflake, searching for signals across storage providers, and storing data in different locations based on proximity or regulations...
The future is multi-cloud and multi-storage for security teams too.

Handle data in
Cost savings

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