Case Study on Enhanced Detection in Pharmaceutical R&D

This case study focuses on a global life sciences and pharmaceutical research organization that aimed to expand its threat detection capabilities without increasing telemetry collection or incurring additional operational costs. The organization faced challenges in closing two detection gaps: reconnaissance and service discovery activities within the internal network, as well as identity-focused attack techniques targeting Active Directory. The existing security stack was mature, but scaling telemetry collection would have resulted in prohibitively high costs and significant engineering overhead. The introduction of LABYRINTH, a specialized detection layer, allowed for broader detection coverage without the need for additional telemetry or changes to the existing SIEM infrastructure. The results included enhanced visibility into suspicious activities and identity attacks, all while avoiding a six-figure annual cost increase. The organization successfully reframed its approach to detection, focusing on certainty rather than scaling existing infrastructure.