Machine Learning based Cybersecurity Human Risk Management (CHRM) platform

Most cybersecurity training treats all employees as identical, asking them to guess answers to test questions rather than measuring their actual behaviour. OutThink’s platform changes this by using machine learning, natural language processing, and software telemetry to analyse how individuals behave during training and in daily security tasks. The problem is that current Security Awareness Training has limited impact because it cannot identify specific human risk factors or target improvements. By understanding each person’s attitudes and behaviours, OutThink aims to deliver tailored training that turns employees into a defence against cybercrime rather than a vulnerability. If successful, the platform could save organisations an estimated €2.8 billion per year globally. This matters because human error remains a major cause of security breaches in businesses, public services, and critical infrastructure. The research is applied and commercially focused, with a clear practical goal: to reduce cyber risk by adapting training to the individual, not the average.