Case Study: BioCatch achieves increased stability and ML-powered log insights with Coralogix

How BioCatch increased stability with ML-powered insights

BioCatch, a fintech-focused cybersecurity company founded on neural science and machine learning, was struggling to manage and make sense of exploding log volumes from its microservices. Using a self‑managed ELK stack, the team faced over 1.5 TB of daily logs and thousands of syntax permutations that made manual analysis impractical. To address operational and stability concerns, BioCatch turned to Coralogix’s hosted ML‑based log analytics service.

Coralogix deployed its automatic clustering and pattern‑detection platform (using AWS-hosted ingestion with Lambda/S3) to map software flows, detect production issues, and deliver pinpoint insights—onboarding BioCatch and producing actionable results within two weeks. The Coralogix solution unified 1.5 TB/day of logs across ~834 microservices, achieved full team adoption (about 71 users), reduced time to search and troubleshoot, and improved stability by surfacing problems and root causes faster.

BioCatch

Dekel Shavit

Vice President of Operations & CISO