
Cybersecurity 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.
- Add data in
- minutes
- Cost savings
- 80%
- Decentralized architecture
- Increase agility