Revolutionizing data security
12M
Threat signals correlated annually across client environments
Background
Q-Lab oversees health data, connected diagnostic systems, and research workflows that require constant protection. Rapid digital expansion created a growing attack surface across cloud environments, internal tools, and third-party integrations.
Challenge
The organization needed a security model that could keep pace with change while meeting regulatory expectations and protecting care continuity. Existing monitoring was reactive, incident response was slow, and risk signals were scattered across disconnected tools.
Approach
Hexons built an adaptive security framework that joined visibility, response, and resilience into one operating model.
Centralized telemetry from endpoints, cloud services, and identity systems.
Introduced behavioral detection rules to correlate high-volume threat signals.
Refined incident response playbooks for clinical, research, and business-critical systems.
Established recovery procedures to maintain continuity during security events.
Results
The program now correlates 12 million threat signals annually, giving Q-Lab faster insight into risk patterns while preserving full compliance and avoiding service disruption. Security decisions became more proactive, data-driven, and operationally sustainable.
Outcome
Q-Lab gained a modern security backbone that protects sensitive health environments without compromising speed, trust, or uptime.