"Their predictive analytics solution anticipated a major latency anomaly 48 hours in advance, allowing us to reconfigure routing and avoid a costly service disruption for our financial clients."
Alexandru Popescu
IT Infrastructure Director
A regional bank in Eastern Europe
Use Case:
Real-time monitoring and securing of a primary financial data center, with daily traffic exceeding 5 TB.
Concrete Result: The AI system detected a subtle pattern of performance degradation in a switch cluster, which was not visible in conventional monitoring. The proactive intervention prevented an estimated loss of over 200,000 EUR in SLA penalties and data recovery.