Improving Cybersecurity with Artificial Intelligence

Abstract

With the continued growth of the Internet of Things (IoT), the rise of connected devices poses substantial challenges to cybersecurity. The swift digital transformation across governments, businesses, and personal spheres has escalated the frequency and severity of cyberattacks, posing significant risks to individuals, organizations, and entire nations. Predictive approaches are becoming crucial in addressing these constantly evolving cyber threats before they can cause extensive harm, as conventional security strategies are inadequate. This article delves into various cyber threats, such as ransomware, phishing, malware, and denial of service (DoS) attacks, highlighting the vital role that artificial intelligence (AI) plays in fortifying cybersecurity defenses, such as intrusion detection systems, network protection, and the deployment of intelligent agents. Additionally, it discusses the importance of machine learning methods and predictive modeling in anticipating and preventing cyberattacks. While AI-driven cybersecurity offers numerous benefits, challenges related to data privacy, scalability, and human-machine collaboration remain prominent. In today’s increasingly digital environment, organizations can bolster their defenses against cyberattacks and safeguard critical assets by leveraging AI-powered cybersecurity solutions.