Kennesaw State University, Industril & Systems Engineering, Institute, Marietta, Georgia USA.
* Corresponding Author
ORCID Details
Rebet Keith Jones : https://orcid.org/0009-0008-0487-1301
International Journal of Science and Research Archive, 2026, 21(02), 331–345
Article DOI: 10.30574/ijsra.2026.21.2.1985
Received on 27 September 2026; revised on 05 November 2026; accepted on 07 November 2026
The increasing complexity of data management systems, coupled with the evolving nature of cybersecurity threats, necessitates innovative approaches to ensure data integrity, confidentiality, and availability. This paper explores recent studies on advanced data management strategies and their intersection with cybersecurity practices. Key insights are drawn from the latest research on topics such as distributed ledger technologies, artificial intelligence-driven threat detection, and privacy-preserving data management frameworks. The analysis highlights how these emerging technologies are reshaping the landscape of data management while addressing cybersecurity challenges. Additionally, this paper examines the role of regulation and policy in fostering secure data ecosystems. The findings offer a comprehensive overview of current trends, challenges, and opportunities in the field, with recommendations for future research directions.
Artificial Intelligence, Cybersecurity, Data Management, Distributed Ledger, Privacy
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Rebet Jones. NOVEL STRATEGIES FOR CYBERSECURITY AND DATA MANAGEMENT: FINDINGS FROM CURRENT RESEARCH. International Journal of Science and Research Archive, 2026, 21(02), 331–345. Article DOI: https://doi.org/10.30574/ijsra.2026.21.2.1985






