Case Study: a tier-1 global bank reduces false positives and speeds detection with Zymr's AI-driven SIEM modernization

Global Bank cuts false positives by 87% with Zymr

The client, a tier-1 global bank, was struggling with an outdated QRadar SIEM system that generated a high volume of false positives, causing alert fatigue and slow threat detection. To modernize its cybersecurity operations and improve threat detection accuracy, the bank partnered with Zymr for a SIEM modernization and AI detection solution.

Zymr migrated the bank's security operations to the Elastic Security platform and integrated AI-driven detection and Cortex XSOAR automation. This solution implemented machine learning behavioral analytics and MITRE-aligned detection engineering. As a result, Zymr helped the bank achieve an 87% reduction in false positive alerts and reduced its mean time to detect from 72 hours to just 3 hours.