AI security

Abstract

Abstract. Introduction. The 21st century has brought unprecedented challenges in the field of security. The digitalization of society, the growing number of cyberattacks, hybrid conflicts, and the globalization of threats have transformed the traditional understanding of safety and defense. Artificial Intelligence (AI) and digital technologies are no longer optional but mandatory instruments in ensuring stability and resilience of states, corporations, and individuals. The importance of AI in security is evident in its wide adoption across sectors such as banking, transportation, military defense, and healthcare. For instance, AI-driven systems monitor global financial transactions to detect fraud, while predictive algorithms are applied in law enforcement to forecast crime hotspots. Similarly, digital technologies like Big Data, the Internet of Things (IoT), and Cloud Computing provide the backbone for collecting, analyzing, and securing massive streams of information. The objective of this research is to explore the opportunities and limitations of AI and digital technologies in security, as well as to outline the ethical and legal considerations that accompany their development. Artificial Intelligence in Security. Artificial Intelligence represents a transformative force in modern security strategies. Its ability to process unstructured data from multiple sources (e.g., CCTV cameras, network logs, social media) allows organizations to anticipate risks more effectively than ever before.