Volume 16, No 1, 2019
Integrating Ai Into Cloud Security: Future Trends And Technologies
Sailesh Oduri
Abstract
The integration of Artificial Intelligence (AI) into cloud security is a rapidly evolving frontier in cybersecurity, promising enhanced capabilities to combat increasingly sophisticated cyber threats. This research article delves into the transformative role of AI in reinforcing cloud environments, exploring current implementations, potential challenges, and future trends. We discuss various AI applications currently in use, such as anomaly detection systems and automated threat management, which significantly improve efficiency and accuracy in identifying and mitigating risks. Moreover, the paper highlights critical challenges that come with the integration of AI, including concerns over data privacy, the potential for algorithmic biases, and the dependence on high-quality data for effective AI performance. Looking forward, the article forecasts emerging trends and technologies that are expected to shape the future of cloud security. These include predictive analytics, AI-driven real-time threat response automation, and the integration of advanced technologies like blockchain for enhanced data integrity and deep learning for more precise threat analytics. Through a detailed case study, we illustrate a practical application of AI in cloud security, providing insights into real-world implementation and outcomes. The discussion extends to the scalability of AI solutions and their long-term benefits, aiming to provide a comprehensive overview that informs future strategies for integrating AI into cloud security frameworks, thereby enhancing both the security and resilience of cloud services.
Pages: 386-395
Keywords: Artificial Intelligence, Cloud Security, Anomaly Detection, Predictive Analytics, Cyber Threats Management.