Spotlight Session: Predictive Analytics: Shifting From Descriptive to Prescriptive

This session delivers a practical risk quantification and decision framework to help rail organisations calculate likelihood, model impact, and optimise cyber investment across safety-critical networks.

• How are rail companies quantifying likelihood and impact to support defensible cyber investment decisions?

• Best practice in Applying predictive risk modelling and attack-path disruption techniques to identify the most vulnerable operational choke points.

• Real-world examples of using AI and analytics to anticipate threat vectors and accelerate detection.

• Balancing business impact versus security spend to prioritise mitigation strategies.