1 Department of Information and communication science, Ball state university, Muncie Indiana USA.
2 Stanley, Mechanical Engineering, University of Nigeria Nsukka Nigeria.
3 Department of Cybersecurity, Eastern Illinois University, Charleston, Illinois, United States.
4 IA Technology Risk and Cybersecurity, Goldman Sachs, New York, USA.
International Journal of Science and Research Archive, 2024, 13(02), 4159-4169.
Article DOI: 10.30574/ijsra.2024.13.2.2583
DOI url: https://doi.org/10.30574/ijsra.2024.13.2.2583
Received on 13 November 2024; revised on 22 December 2024; accepted on 24 December 2024
The cybersecurity domain sees radical changes through the combination of Zero Trust Architecture (ZTA) with Artificial Intelligence (AI). All-access requests, including internal and external ones, fall under ZTA's fundamental "never trust, always verify" policy for thorough verification procedures. The advanced abilities of AI allow it to detect anomalies, forecast threats, and execute automated decisions to respond to cyber threats in real-time. Modern security frameworks receive enhanced protection through these technologies, which provide dynamic threat adaptation capabilities and improved response time and accuracy. The integrated approach between these systems produces enhanced cybersecurity performances that enhance vulnerability detection and produce predictive defense capabilities. Enhanced security infrastructure depends increasingly on ZTA and AI combined solutions to combat advanced evolving cyber threats.
Zero Trust; AI Integration; Threat Detection; Response Time; Cybersecurity Framework; Data Privacy
Preview Article PDF
Ebuka Mmaduekwe Paul, Ugochukwu Mmaduekwe, Joseph Darko Kessie and Mukhtar Dolapo Salawudeen. Zero trust architecture and AI: A synergistic approach to next-generation cybersecurity frameworks. International Journal of Science and Research Archive, 2024, 13(02), 4159-4169. https://doi.org/10.30574/ijsra.2024.13.2.2583






