AI and data analytics are helping utilities leverage real-time data to forecast loads, optimize yields, analyze consumption, predict demand, prevent theft or malicious interference, and carry out preventive maintenance, repairs and more. But both rely on collecting, storing and processing vast datasets which are increasingly being held in public, private and hybrid cloud infrastructure.

How can you secure this data?