Department of Computer Science, Robert Morris University, School of Data Intelligence and Technology, Pittsburgh, Pennsylvania, USA.
World Journal of Advanced Research and Reviews, 2025, 27(03), 1404-1414
Article DOI: 10.30574/wjarr.2025.27.3.3288
Received on 10 August 2025; revised on 20 September 2025; accepted on 22 September 2025
Even though technologies like Artificial Intelligence (AI) and blockchain have the potential to help solve privacy problems, they can't be used by themselves. This paper looks at how these technologies can work together to make decentralized defense systems that are more powerful. Many security jobs, like finding malware, analyzing fraud, and stopping intrusions, have been taken over by AI technologies like machine learning and deep learning. But these solutions are centralized and make decisions in a way that is hard to understand. Lack of openness also leads to problems with who owns and controls data. Blockchain, on the other hand, makes it possible for independent peer-to-peer networks that are protected by cryptography. Some use cases are digital identity, distributed access control, and logs that can be checked. On the other hand, blockchain by itself doesn't have the intelligence needed for advanced threat research. The processing power of AI and the spread trust model of blockchain can work together to make up for each other's flaws. A decentralized threat intelligence tool that uses machine learning on an open blockchain network can give partners security insights that can work together and that can be explained and rewarded. AI is also used to look at audit trails and consensus processes on the blockchain in order to learn new attack patterns all the time. Trusted digital identity solutions that use biometrics, AI, and smart contracts on blockchain can also make managing access easier and stop identity theft. To get the most out of this unified approach, problems with privacy, scale, and interoperability need to be fixed with methods such as federated learning, off-chain processing, and encryption. Through the decentralized combination of artificial intelligence and blockchain technologies, this synergy could turn cybersecurity into a system that is open, democratic, and accountable by design.
Artificial Intelligence; Blockchain; Cybersecurity; Decentralized Systems; Trust; Transparency.
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Shadrack Onyango Oriaro. Synergistic Integration of AI and Blockchain Technologies for Decentralized Cybersecurity Solutions: Enhancing Trust and Transparency. World Journal of Advanced Research and Reviews, 2025, 27(03), 1404-1414. Article DOI: https://doi.org/10.30574/wjarr.2025.27.3.3288.
Copyright © 2025 Author(s) retain the copyright of this article. This article is published under the terms of the Creative Commons Attribution Liscense 4.0