Dynamic Edge Segmentation: Securing the Past, Enabling the Future
Course
Mark Finch of GSK explains how dynamic edge segmentation replaced a six-year conventional project, applying device-identity-driven policies globally without re-architecting existing network infrastructure.
Traditional network segmentation across large, complex manufacturing and pharmaceutical sites is costly, slow and operationally disruptive. After NotPetya exposed critical vulnerabilities across the healthcare and pharma sector in 2017, GSK determined that reaching its segmentation goals through conventional methods would require 3,500 change windows and six years of work - and that a fundamentally different approach was needed.
This session presents GSK's dynamic edge segmentation model: a software-based, device-identity-driven approach that applies centrally managed security policies at the network edge without re-architecting existing infrastructure.
This session, led by Mark Finch, will cover:
- How device classification at the network edge enables policy-based segmentation without IP changes;
- Why a single central policy can govern every instance of a device type across global sites;
- How dynamic segmentation supports smart factory and Industry 4.0 transitions without hampering innovation.
Here is the course outline:
Dynamic Edge Segmentation: Securing the Past, Enabling the Future |
Completion
The following certificates are awarded when the course is completed:
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CPE Credit Certificate |
