Pentagon believes its precognitive AI can predict events ‘days in advance’

The US military’s AI experiments are growing particularly ambitious. The Drive reports that US Northern Command recently completed a string of tests for Global Information Dominance Experiments (GIDE), a combination of AI, cloud computing and sensors that could give the Pentagon the ability to predict events « days in advance, » according to Command leader General Glen VanHerck. It’s not as mystical as it sounds, but it could lead to a major change in military and government operations.

The machine learning-based system observes changes in raw, real-time data that hint at possible trouble. If satellite imagery shows signs that a rival nation’s submarine is preparing to leave port, for instance, the AI could flag that mobilization knowing the vessel will likely leave soon. Military analysts can take hours or even days to comb through this information — GIDE technology could send an alert within « seconds, » VanHerck said.

The platform could be put into real-world use relatively soon. VanHerck believed the military was « ready to field » the software, and could validate it at the next Globally Integrated Exercise in spring 2022.

The advantages of this predictive AI are fairly clear. Instead of merely reacting to events or relying on outdated info, the Pentagon could take proactive steps like deploying forces or ramping up defenses. It could also provide an « opportunity » for the civilian government, VanHerck added. He didn’t provide examples, but this could help politicians call out acts of aggression while they’re still in the early stages.

There are still limitations. The AI is looking for out-of-the-ordinary clues, such as a greater number of parked cars or aircraft. It can’t say for certain what’s happening — humans will still be heavily involved. Even so, the tech could be worthwhile if it prevents a ‘surprise’ attack or leads to negotiations instead of conflict.

Mots-clés : cybersécurité, sécurité informatique, protection des données, menaces cybernétiques, veille cyber, analyse de vulnérabilités, sécurité des réseaux, cyberattaques, conformité RGPD, NIS2, DORA, PCIDSS, DEVSECOPS, eSANTE, intelligence artificielle, IA en cybersécurité, apprentissage automatique, deep learning, algorithmes de sécurité, détection des anomalies, systèmes intelligents, automatisation de la sécurité, IA pour la prévention des cyberattaques.