Blockchain-Enabled Artificial Intelligence and AI Agents for Secure Data Sharing and Cybersecurity Applications

Abstract:Blockchain and artificial intelligence (AI) are converging into a single infrastructural layer for securing data sharing, model integrity, and autonomous decision-making across distributed systems. This paper presents a meta-synthesis that draws together four constituent studies covering adversarial machine learning, AI-powered anomaly detection in cloud environments, automated vulnerability patching by multi-agent large language model (LLM) pipelines, and the broader landscape of securing AI systems across their lifecycle and situates their findings within the emerging literature on blockchain-enabled AI and autonomous AI agents. Each constituent study addresses a distinct point of failure in modern AI-driven security operations: the integrity of training data and model behavior, the reliability of real-time monitoring, and the trustworthiness of automated code remediation. We argue that blockchain's properties of immutability, decentralized consensus, and verifiable provenance directly address a gap common to all three: the difficulty of establishing trust in data, models, and autonomous agents that operate without a central authority. Building on real-world research on blockchain-secured data sharing, federated learning, and multi-agent coordination, we propose a layered reference architecture that couples adversarially hardened models, blockchain-anchored data provenance, AI-driven anomaly detection, and smart-contract-governed multi-agent remediation. We conclude by identifying open problems in scalability, privacy-transparency trade-offs, and the governance of autonomous agents that must be resolved before such integrated systems can be trusted in production-critical environments.

published in International Journal of Scientific Research and Management (IJSRM) , published date : August 6, 2026, issue : Vol. 14, No. 08, (2026), pages : 2972-2978, doi : https://doi.org/10.18535/ijsrm/v14i08.ec03

Cryptography and Security (cs.CR); Artificial Intelligence (cs.AI)

I.2.11; I.2.6; K.6.5; D.4.6

arXiv:2609.28843 [cs.CR]

(or arXiv:2609.28843v1 [cs.CR] for this version)

https://doi.org/10.48550/arXiv.2609.28843 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

International Journal of Scientific Research and Management, Vol. 14, No. 08, 2026

https://doi.org/10.18535/ijsrm/v14i08.ec03 Focus to learn more DOI(s) linking to related resources

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