Military organisations face challenges when it comes to generating recognised cyber situational pictures. Even though data exchanges are important in all of them, the traditional battle theatres of land, sea, and air, as well as space and the cyber domain, have largely had separate, disconnected and fragmented information infrastructures. These infrastructures lack the outside-in view and the ability to aggregate and correlate massive datasets from across domains, networks, endpoints, and defence clouds for the purpose of providing situational awareness and insight into supply chain exposures. When mapped to actionable threat intelligence, machine learning and artificial intelligence can allow you to predict emerging threats and help your cyber defence security operations centres (SOCs) to reduce your mean time to detect and mean time to respond down to minutes.