Cyberattacks driven by Artificial Intelligence (AI) pose unprecedented risks to global economies, supply chains, and trade. A forthcoming study from the journal Risk Analysisexplores the cascading impacts of AI-driven cyberattacks.
Unlike traditional cyberattacks, which are typically manual or scripted, AI-driven cyberattacks utilize AI and machine learning algorithms to enhance their effectiveness, stealthiness and adaptability. AI-driven cyberattacks can autonomously learn and evolve their tactics, techniques and procedures based on real-time feedback and environmental changes.
Through simulation scenarios, the researchers discovered the potential economic ramifications of cyberattacks, focusing on regions heavily reliant on digital technologies and interconnected supply chains. The analysis revealed significant declines in real GDP, trade prices and volumes, and trade route disruptions across regions. The most vulnerable economies were China, the U.S., the U.K., and the E.U. – due to their deep integration into global networks.
No comments:
Post a Comment