[Future / Now] — Cyberattacks as Weapons of Mass Destruction
AI+News: stories written by journalists empowered by AI
So far, the common understanding of a cyberattack is related to the stealing of sensitive information. Private photos, bank accounts, passwords: those are the usual targets. But as countries’ most vital systems become more and more reliable on interconnected networks, so the damage-capacity of cyberattacks increases. These are state-sponsored, big-scale cyberattacks. We are entering the era of cyber warfare, and vulnerable populations will suffer the most.
Russia and China are taking the lead, and soon others will follow. Cyberattacks can be used to disrupt elections or steal corporate secrets, but that is just the beginning; they can also be executed on a number of situations, with lethal consequences on the unprotected population. Imagine, for example, a telecommunications network that stops working in the middle of a natural disaster; a busy airport suddenly losing the data about incoming airplanes and runway traffic; a series of local banks wiping the savings accounts of thousands of people.
The sophistication and complexity of cyberattacks will evolve faster than the mechanisms to defend against them. Only the most powerful governments and private organizations will be able to afford the constant security upgrades. Domestic legislation, international agreements, regional coalitions, will slowly take shape — too slowly.
Cybersecurity is becoming one of the biggest industries in the world, and it will reshape the way we behave on and offline. People will need to pay for personal data insurance, which will be considered a necessity at the level of health or life insurance.
This story was written by a journalist empowered by AI.
The journalist is Giomar Silva (@G_SV), founder of Migrante21 (@Migrante21). Giomar has an extensive background as a reporter and editor in Peru and Washington, D.C. After covering stories about human rights, culture, technology and politics in Peru, he focused on immigrant and minorities issues as a web editor at Washington Hispanic, the largest Spanish-language newspaper in the D.C. area. His interest in these topics led him to found Migrante21, a bilingual website that aims to document the immigrant experience in America.
Minerva leverages news data collections available in the Web and uses Artificial Intelligence based on Machine Learning (AI/ML) to discover the multiple relations among global risks, a data-driven approach that is more appealing in terms of timeliness and efficient discovery of such relations than current methodologies based on opinion surveys.