Artificial Intelligence and Its Impact on Cybersecurity Strategies: An Analytical Study of Selected Models

Abstract

Artificial intelligence has formed an important enhancement and addition to security and cyber power, as it contributes to supporting productivity, data analysis, automation, threat detection, and response, reducing the burden on human analysts. In addition, intelligent machine learning algorithms analyze network traffic, detect anomalies, and respond to threats in real time, ensuring faster and more accurate defenses.

Artificial intelligence also enables the development of continuous, adaptable cyber offensive and defensive strategies that enhance cybersecurity measures, especially in firewalls, intrusion detection systems, and endpoint security, on the one hand. On the other hand, we find that hackers and hackers have found ways to employ it in phishing, creating malware, discovering vulnerabilities in systems, as well as what these tools can do from analyzing huge amounts of data quickly to identify potential vulnerabilities in networks, and thus artificial intelligence is a double-edged sword as it enhances cybersecurity and its penetration depending on the ability of international forces and actors and the way it is employed, which increases the intensity of competition and cyber conflict as well as the arms race enhanced by cyber power and artificial intelligence.