Synergistic Integration of AI and Blockchain Technologies for Decentralized Cybersecurity Solutions: Enhancing Trust and Transparency

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.

Institutions

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-09-30
DOI
https://doi.org/10.5281/zenodo.17774113
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
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article

Synergistic Integration of AI and Blockchain Technologies for Decentralized Cybersecurity Solutions: Enhancing Trust and Transparency

Zenodo (CERN European Organization for Nuclear Research)
Blockchain Technology Applications and Security
article

Synergistic Integration of AI and Blockchain Technologies for Decentralized Cybersecurity Solutions: Enhancing Trust and Transparency

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Robert Morris University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 29%
Blockchain Technology Applications and Security
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