Blockchain Integrated AI Augmented Enterprise Framework for Intrusion Resilient Financial Data Ecosystems
Abstract
The rapid digital transformation of financial systems has significantly increased the volume, complexity, and vulnerability of financial data ecosystems. Modern enterprises rely on interconnected platforms, cloud infrastructures, and digital transaction systems that are increasingly targeted by cyber intrusions, data breaches, and financial fraud. Traditional security frameworks often lack the ability to provide both real-time intrusion detection and tamper-resistant data management. To address these challenges, this research proposes a Blockchain Integrated AI Augmented Enterprise Framework designed to enhance the resilience and security of financial data ecosystems. The proposed framework integrates blockchain technology with artificial intelligence-based intrusion detection and predictive analytics to create a decentralized, transparent, and adaptive security infrastructure. Blockchain ensures immutability, transparency, and decentralized verification of financial transactions, while AI models continuously monitor network activity, detect anomalies, and predict potential cyber threats. The framework combines distributed ledger technology, machine learning algorithms, and secure enterprise architecture to provide multi-layered protection against cyberattacks. The research methodology includes system architecture design, machine learning-based intrusion detection, blockchain-based data validation, and simulation-based performance evaluation. Experimental analysis demonstrates that the proposed framework improves financial data integrity, enhances real-time intrusion detection, and strengthens enterprise security governance. The framework contributes to the development of secure and intelligent financial data ecosystems capable of resisting emerging cyber threats.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 9 No. 2 (2026): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
401-412 |
Published |
March 5, 2026 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Chetan Sasidhar Ravi (%2026). Blockchain Integrated AI Augmented Enterprise Framework for Intrusion Resilient Financial Data Ecosystems. International Journal of Science, Research and Technology , Vol. 9 No. 2 (2026): International Journal of Science, Research and Technology (IJSRAT) , pp. 401-412. https://doi.org/10.15662/IJSRAT.2026.0902001 |
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