Machine learning can improve petrochemicals cyber-security
The rapid introduction of internet of things technology to compile data has left systems at industrial facilities in the petrochemical sector increasingly vulnerable to cyber attacks that could threaten production and safety. Wireless signals much more hackable than hard-wired systems, however, machine learning and AI-enhanced cyber security measures and blocking wireless signals outside the facilities could potentially reduce the problem by effectively isolating incidents before irreparable damage occurs. "It is no longer reasonable to deploy industrial control infrastructure without its corresponding security," says Edgard Capdevielle, CEO of cybersecurity group Nozomi Networks.
The USA wants to get the SPR to its would-be level had it not been for releases induced by the Ukraine war.