International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395-0056
Volume: 11 Issue: 10 | Oct 2024
p-ISSN: 2395-0072
www.irjet.net
Challenges and Future Directions in AI-Enabled Cloud Security Narinder Singh Kharbanda -------------------------------------------------------------------------***------------------------------------------------------------------------
Abstract This article explores the challenges and future directions of AI-enabled cloud security, addressing the rapid growth of the AI cybersecurity market and its increasing importance in combating evolving threats. It examines key issues such as scalability, interpretability, integration with existing systems, and privacy concerns. The study highlights emerging trends including adaptive security systems, AI-driven threat intelligence, and novel algorithms. Drawing on recent research and industry reports, the article proposes solutions to current challenges and identifies potential research areas, emphasizing the role of fog and edge computing in enhancing AI-based cloud security. It concludes with predictions for the future of autonomous security systems and the integration of AI with emerging technologies like quantum computing and 5G networks. Keywords: AI-Enabled Cloud Security, Cybersecurity Challenges, Adaptive Security Systems, Edge Computing, Quantum Encryption
1. Introduction The rapid advancement of cloud computing technologies has revolutionized the way organizations store, process, and manage data. However, this shift has also introduced new security challenges that traditional methods struggle to address effectively. Artificial Intelligence (AI) and Machine Learning (ML) have emerged as powerful tools in enhancing cloud security, offering the potential to detect and respond to threats with unprecedented speed and accuracy. According to a recent industry report, the global AI in cybersecurity market is expected to grow from $8.8 billion in 2019 to $38.2 billion by 2026, with a compound annual growth rate (CAGR) of 23.3% [1]. This substantial growth underscores the increasing reliance on AI-driven solutions to combat evolving cyber threats in cloud environments. For instance, a study conducted by Capgemini found that 69% of organizations believe AI is necessary to respond to cyberattacks, with 64% stating that AI lowers the cost of detecting and responding to breaches by an average of 12% [2]. The integration of AI into cloud security frameworks is not without its challenges. As organizations increasingly rely on AIdriven security solutions, it becomes crucial to understand and address the limitations and potential pitfalls of these technologies. A survey of 300 IT security professionals revealed that while 74% of organizations are testing AI-based
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