Case Study: Leaseweb achieves proactive, ML-driven security and faster incident response with Elastic

How machine learning in the Elastic Stack keeps Leaseweb secure

Leaseweb, a global IaaS provider with 80,000+ servers across 20+ datacentres, needed a scalable, cost-effective security monitoring solution because its previous tools were too expensive and lacked the fine-grained search and analytics required to secure a distributed, 600-person organization. Drawn to open source and strong support, Leaseweb selected the Elastic Stack for its ability to onboard diverse data sources and apply advanced analytics at scale.

Using Kibana and Elastic’s machine learning, Leaseweb ingested firewalls, antivirus, domain controller logs, network appliance data and more to build dashboards and behavior-based alerts. The result: faster, proactive incident response, reduced noise through automated anomaly detection, successful mitigation of DDoS and intrusion attempts, and ongoing plans to expand ML-driven alerts to catch issues earlier.

Leaseweb