Effective Multi Cloud Security Using AI Technologies |
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| © 2024 by IJCTT Journal | ||
| Volume-72 Issue-11 |
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| Year of Publication : 2024 | ||
| Authors : Naresh Kumar Miryala | ||
| DOI : 10.14445/22312803/IJCTT-V72I11P115 | ||
How to Cite?
Naresh Kumar Miryala, "Effective Multi Cloud Security Using AI Technologies," International Journal of Computer Trends and Technology, vol. 72, no. 11, pp. 143-149, 2024. Crossref, https://doi.org/10.14445/22312803/IJCTT-V72I11P115
Abstract
In the current dynamic IT landscape, the importance of multi-cloud environments introduces multifaceted challenges in securing organizational data. This abstract navigates the intersection of multi-cloud security and Artificial Intelligence (AI), presenting a succinct yet comprehensive overview of strategies to fortify against evolving cyber threats. Multi-cloud adoption, while enhancing agility, necessitates advanced security measures. This abstract emphasizes the imperative of a sophisticated approach to safeguard data across diverse cloud platforms. Exploring the multi-cloud security landscape, we scrutinize data protection intricacies, identity management nuances, and compliance considerations. This sets the stage for integrating AI solutions to address these challenges effectively.Artificial intelligence, encompassing machine learning and predictive analytics, emerges as a transformative force. We discuss AI’s potential to revolutionize threat detection, response mechanisms, and policy enforcement within the complex dynamics of multi-cloud environments. Proactive threat detection and prevention are paramount. AI algorithms play a pivotal role in continuously monitoring and analyzing vast datasets for anomalous behavior, providing resilient defense mechanisms against emerging threats. Ensuring consistent security policies across diverse cloud providers remains a challenge. This abstract explores the role of AI-powered orchestration tools in unifying security measures, streamlining policy enforcement, and simplifying the management of security protocols. In conclusion, this abstract underscores the urgency for organizations to adopt AI-driven strategies, offering a concise yet insightful overview of the critical intersection between multi-cloud security and artificial intelligence. It provides a strategic roadmap for organizations aiming to fortify their security posture in the intricate landscape of multi-cloud environments. The paper begins by delving into the unique security considerations posed by multi-cloud deployments, addressing the intricacies of managing data across disparate platforms while adhering to regulatory requirements.
Keywords
Multi-cloud security, Artificial Intelligence(AI), Cyber security, Threat detection, Data protection, Identity management, Compliance, Cloud security, Machine learning, Predictive analytics, Security automation, Resilient security, Threat prevention, Governance, Data encryption, Privacy compliance, Continuous security monitoring, Security protocols, Cloud providers, Security frameworks, Anomalous behavior detection, Security posture, Agility in IT, Resource optimization, Regulatory requirements, Industry standards, Intelligent key management, Access control, Dynamic IT ecosystems, Threat landscape, Security challenges, Complex IT environments, Security strategies, Integration of AI in security, Security measures, Policy enforcement, Streamlining security, Complexity management.
Reference
[1] Matt Wallace, Multi-Cloud in the world of AI, Dataversity, 2023. [Online]. Available: https://www.dataversity.net/multi-cloud-in-the world-of-ai/
[2] C3.ai, Multi Cloud, 2022. [Online]. Available: https://c3.ai/glossary/artificial-intelligence/multi-cloud/
[3] f5, What Is Multi-Cloud Security?, 2024. [Online]. Available: https://www.f5.com/glossary/multi-cloud-security
[4] Cross4Cloud, The Future of Multi-Cloud Management: The Role of Artificial Intelligence, 2023. [Online]. Available: https://cross4cloud.com/cloud-corner/blog/the-future-of-multi-cloud-management-the-role-of-artificial-intelligence/
[5] Dana Petcu, “Multi-Cloud: expectations and current approaches,” Proceedings of the 2013 international workshop on Multi-cloud applications and federated clouds, pp. 1-6, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[6] Paul Sinai, Artificial Intelligence Projects Can Benefit from the Multi-Cloud, Medium, 2021. [Online]. Available: https://towardsdatascience.com/why-organizations-should-consider-multi-cloud-for-ai-and-how-to-make-it-happen-d9849757b09c
[7] Jiangshui Hong et al., “An Overview of Multi-Cloud Computing,” Web, Artificial Intelligence and Network Applications, pp. 1055-1068, 2019.
[CrossRef] [Google Scholar] [Publisher Link]
[8] Nicolas Ferry et al., “Managing Multi-Cloud Systems with CloudMF,” Proceedings of the Second Nordic Symposium on Cloud Computing & Internet Technologies, pp. 38-45, 2013.
[CrossRef] [Google Scholar] [Publisher Link]
[9] Hamza Ali Imran et al., “Multi-Cloud: A Comprehensive Review,” 2020 IEEE 23rd International Multitopic Conference (INMIC), Bahawalpur, Pakistan, 2020.
[CrossRef] [Google Scholar] [Publisher Link]
[10] Lea Ethan, “Multi-Cloud Management: Orchestrating and Securing Distributed Cloud Environments,” Department of Computer Science, University of Cambridge, pp. 1-9, 2023.
[Google Scholar] [Publisher Link]
[11] Tahir Alyas et al., “Multi-Cloud Integration Security Framework Using Honeypots,” Mobile Information Systems, vol. 2022, 2022.
[CrossRef] [Google Scholar] [Publisher Link]
[12] Prakash Somasundaram “Enhanced Security in Multi-Cloud Environments through Federated Access Control,” International Journal of Computer Engineering & Technology, vol. 14, no. 2, pp. 90-96, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[13] S. K. Yakoob, and V. Krishna Reddy “Efficient Identity-Based Multi-Cloud Security Access Control in Distributed Environments,” International Journal of e-Collaboration (IJeC), vol. 19, no. 3, pp. 1-13, 2023.
[CrossRef] [Google Scholar] [Publisher Link]
[14] Jason Lingle et al., “Security-as-a-Service in a Multi-Cloud Environment,” pp. 1-10, 2019.
[CrossRef] [Google Scholar]
[15] Rinkey Singh, and Raino Bhatia, “AI Cloud Computing in Education,” International Journal of Research in Science and Engineering, vol. 3, no. 4, pp. 37-42, 2023.
[CrossRef] [Publisher Link]
[16] Abid Ali et al., “AI-Enabled Cloud Security Based on Organized Identity System,” 2022.
[Google Scholar]
[17] Jo Debecker, Using AI to Optimize a Multi-Cloud Strategy, AI Business, 2023. [Online]. Available: https://aibusiness.com/verticals/using ai-to-optimize-a-multi-cloud-strategy
[18] Rahul Phadke, The Importance of AI in the Enterprise and How to Build a Secure Multi-Cloud Network, F5, 2023. [Online]. Available: https://www.f5.com/company/blog/the-importance-of-ai-in-the-enterprise-and-how-to-build-a-secure-multi-cloud-network
[19] Codemotion, Why Choose a Multi-cloud Strategy for AI Deployment, 2023. [Online]. Available: https://www.codemotion.com/magazine/ai-ml/multi-cloud-strategy-for-ai/
[20] Cisco, Multicloud Security: Architecture and Ultimate Guide, 2024. [Online]. Available: https://www.cisco.com/site/us/en/learn/topics/security/multicloud-security-architecture.html
[21] CheckPoint, What is Multi-Cloud Security. [Online]. Available: https://www.checkpoint.com/cyber-hub/cloud-security/what-is-multi cloud-security/
[22] Wiz Experts Team, Multi Cloud Security Explained, 2024. [Online]. Available: https://www.wiz.io/academy/multi-cloud-security