We can’t predict the future, but we can use futures methodologies to create possible scenarios, identify critical uncertainties and drivers of change to explore forks, consider risks and anticipate challenges. This is what I do.

Futures, foresight, and futurecasting are phrases which may be used to describe this discipline. In academia it is known as future studies. I will refer to the subject as futures. Futures is a well-established field originating in the 1960s. Today it is used by businesses, governments and academics as part of strategic planning, risk analysis and oppurtunities research.

I design and run futures methodologies to collate and derive insight from multiple experts and stakeholders to answer questions of importance. I also conduct independent research to analyse the future cyber security landscape.


In an industry where much of the talent is composed of freelancers, where few are retained or start within academia, and considering the necessity of remote-only practice, a new approach is required to access knowledge. I use the phrase open futures to refer to futures research which implements an altered approach to deal with these challenges. The results of research are made freely available to the community.


This scenario explores how advances in Natural Language Processing (NLP) may effect the tools, techniques and behaviour of threat actors focused on the period 2021-2026. Attention is paid to the effect of landmark advanced machine learning models such as GTP-3.