The COVID-19 pandemic is an example of a temporary situation when critical infrastructure (CI) operators had to operate with continuously changing conditions. The role of cyber infrastructure during pandemics, for example for the remote work or access to critical systems, has also changed.

The fact than more and more Cyber-Physical or IoT systems are integrated in vehicle fleets, coupled with the growing connectivity of these devices, poses a higher risk of cyber attacks, due to the increased attack surface.

With the increased digitalization and adoption of cost-effective off-the-shelf components and cyber connectivity, Critical Infrastructures (CI) operators have benefited in many ways, but the attack surface has also become larger.

While several application domains are exploiting the added-value of analytics over various datasets to obtain actionable insights and drive decision making, the public policy management domain has not yet taken advantage of the full potential of the aforementioned analytics and data models.