Artificial Intelligence-Enabled Cybersecurity for Smart Computing Environments

Abstract

The increasing complexity of digital infrastructures necessitates robust cybersecurity solutions capable of addressing evolving cyber threats. Artificial intelligence (AI), combined with smart computing, has emerged as a promising approach to safeguarding data, networks, and systems. This paper explores AI-enabled cybersecurity frameworks that utilize machine learning, anomaly detection, and predictive analytics to combat threats such as malware, phishing, and distributed denial-of-service attacks. The research examines case studies where AI algorithms significantly enhance intrusion detection and real-time response systems. It also discusses challenges of adversarial attacks, false positives, and the ethical implications of autonomous decision-making in cybersecurity. Furthermore, the paper highlights the importance of integrating AI-driven security protocols into smart computing environments spanning finance, healthcare, defense, and cloud computing.

KEYWORDS: Cybersecurity; Artificial Intelligence; Smart Computing; Threat Detection; Digital Security