Resilience Through Abstraction: Digital Twins and Adaptive Ecosystems – Part I

Posted by Marcus G. on July 17, 2020

Originally posted on TechUK.

Resilience is obviously a topic that is currently top-of-mind. We are seeing systems, companies and whole industries challenged to an unprecedent extent. From our position deep within the continuing COVID-19 crisis, it is hard even to forecast what comes next and what the shape of recovery will be.

What is clear, and what we can’t lose sight of, is that we will all be tested further in the coming months and years. Recovery from the initial crisis, is merely – unfortunately –  the opening salvo. Recovery longer term will be asymmetrical both intra-sector and across global markets. The resilience companies and their supply and demand chains will remain at the forefront of business planning for the foreseeable future.

I’d like to look at 3 areas where Digital Twins can provide invaluable support: knowing the scale of the problem, avoiding wasteful repetition, and collaborative solution development.

technology abstraction

Knowing the scale of the problem

When I first met Adrian Davis, then Managing Director EMEA of (ISC)2  the global membership organization for information security professionals, he saw how the abstraction and modelling made possible by Digital Twins would help with the significant challenge organisations face to understand and secure their networks and that interoperable Digital Twins provided the ability to model and then secure those networks.

This vision of interrelated Digital Twins providing an abstracted, mirrored version not only of assets but of entire enterprise networks and systems is the first step in enabling companies to identify, recognize, and mitigate the risks and vulnerabilities. Digital Twins move enterprises beyond the purely diagrammatic risk modelling, once ‘twinned’ we can perform emulation, simulation and parallel testing on points or the entire live system.

Knowing where bottlenecks and dependencies lie is an important first step, but how best to move forward?

Read more in Part II