Ignite Session: From Threat Awareness to Threat Anticipation: Transitioning to Predictive Cyber Intelligence for Rail
Strengthening cross-industry threat collaboration to improve early warning, shared intelligence, and collective cyber resilience
Optimising threat modelling in rail, interpreting real-world threat patterns, understanding operational impact, and prioritising defensive investment.
Transitioning from descriptive to prescriptive analytics, using data science and machine learning to anticipate future attack scenarios
Unlocking the hidden story in operational data to drive faster, evidence-led cyber decision-making
Latest innovations, applying new detection technologies and analytics to improve early-warning capability.
Translating threat intelligence into actionable operational controls to reduce rail disruption