A Review on the Impact of Artificial Intelligence on Cybersecurity

Abstract

When it comes to protecting against cyber threats, the use of AI is changing everything. Thanks to AI-powered technologies, organizations can now better foresee and handle potential intrusions. These solutions offer unparalleled capabilities in threat detection, real-time monitoring, and predictive analytics. But, with these innovations come significant hazards and difficulties, necessitating thoughtful deliberation and preventative measures. Artificial intelligence's impact on cybersecurity is explored in this article, looking at both the ways AI is improving defense systems and the dangers of cyberattacks powered by AI. Advanced AI threat detection techniques, including behavioral analysis, anomaly detection, and predictive analytics, are discussed. In addition, the
article discusses the limitations and difficulties of using machine learning for malware detection. Threats like adversarial assaults, data difficulties, biases, and prejudice are discussed in the article, along with the hazards of AI-powered cyberattacks. To effectively manage these dangers, it stresses the significance of cybersecurity experts, AI researchers, and lawmakers working together in an interdisciplinary manner to create accountable deployment techniques and transparent governance structures. Ethically and responsibly leveraging AI technology to defend digital assets and privacy in an ever-evolving threat landscape requires stakeholders to collaborate and be transparent. This will help them understand the intricacies of AI in cybersecurity.