The Evolution of Artificial Intelligence: Implications for Cybersecurity and Hybrid Warfare

Abstract

Artificial intelligence (AI) systems have been part of military technology since World War II, but evolution of AI and advancement in the field of machine learning, particularly deep learning created a paradigm shift in national security. Deep learning is a form of machine learning that enables computers to make intelligent decisions on its own by learning from experience. The emergence and increased dependence on smart machines capable of thinking and working like humans; has transformative influence on strategic competition, military and information superiority. With the rise of modern terrorism, the terrorist networks started adapting to emerging technologies in order to spread propaganda, extremist activities and cyber-attacks. Therefore, it is crucial for counter terrorism organizations to use AI techniques that are beneficial to disrupt terrorist propaganda and to counter hybrid warfare. Profound understanding and true implementation of AI techniques could help in improving cybersecurity, as it provides improved security performance against sophisticated cyber threats. AI combined with human insight has significant potential for national security and to mitigate the related concerns and risks. This paper has adopted qualitative research approach to provide a brief understanding of AI-enabled systems and its implications on cybersecurity and hybrid warfare in order to disrupt terrorist attacks. It gives an insight on how AI evolution and progress has potential to become a transformative national security tool, at par with aircrafts, computer systems, bio-tech, and nuclear weapons.