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 |
References
2. Ambati, K. C. (2025). Improving user experience and operational efficiency for smarter procurement management. International Journal of Engineering & Extended Technologies Research (IJEETR), 7(3), 1282–1289.
3. Paul, D., Namperumal, G., & Surampudi, Y. (2023). Optimizing llm training for financial services: best practices for model accuracy, risk management, and compliance in ai-powered financial applications. Journal of Artificial Intelligence Research and Applications, 3(2), 550-588.
4. Ramidi, M. (2025). MySTORI Mobile Health Research App-Empowering Brain Cancer Patients through Digital Health Innovation. Journal of Computer Science and Technology Studies, 7(8), 955-963.
5. Ireddy, R. K. (2024). Deep learning architecture for banking risk management: Cloud and AI-driven predictive analytics solution. International Journal of Scientific Research in Computer Science, Engineering and Information Technology. https://doi.org/10.32628/CSEIT24113395
6. Pothireddy, S. R. (2025). AI-Powered Copilots Are Revolutionizing Low-Code Development in the Power Platform. International Journal of Communication Networks and Information Security, 17(2), 86-115.
7. Sharma, K., Konudula, J., Srinivas, S., & Mamadiyarov, Z. (2025, August). Leveraging AI and ML to Customize Salesforce CRM for Industry-Specific Solutions. In 2025 International Conference on Intelligent and Secure Engineering Solutions (CISES) (pp. 1492-1497). IEEE.
8. Nallamothu, T. K. (2024). Empowering Clinicians through AI-Augmented Documentation: Insights from Dragon Copilot Implementation. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 7(6), 11309-11318.
9. Gurajapu, A., Anumolu, S., Garimella, V., Chundi, V. M. S. R., & Gubbala, V. S. A. P. (2025). Accelerating Delivery: A Unified Framework for Enterprise CI/CD Standardization. Journal of Computer Science and Technology Studies, 7(1), 420-424.
10. Adari, V. K. (2020). Intelligent Care at Scale AI-Powered Operations Transforming Hospital Efficiency. International Journal of Engineering & Extended Technologies Research (IJEETR), 2(3), 1240-1249.
11. Vijayakumar, R., & Madheswaran, M. (2017, March). Modal analysis of femur bone using finite element method for healthcare system. In 2017 Conference on Emerging Devices and Smart Systems (ICEDSS) (pp. 224-228). IEEE.
12. Muthirevula, G. R., Sethuraman, S., & Mohammed, A. S. (2022). Microservices-Driven Manufacturing: Accelerating Legacy Application Modernization with Cloud-Native Strategies. American Journal of Autonomous Systems and Robotics Engineering, 2, 73-107.
13. Ganesan, G. B. K. (2024). A Zero-Trust Enterprise Integration Reference Architecture for Regulated Industries. International Journal of Research and Applied Innovations, 7(4), 11086-11095.
14. Ande, B. R. (2025). AI-driven decentralized identity access management: Leveraging blockchain, DIDs, and self-sovereign identity for secure authentication. Journal of Information Systems Engineering and Management, 10(35s), 36–47. https://doi.org/10.52783/jisem.v10i35s.5920
15. Gollapudi, R. (2025). Data-Driven Risk Scoring For Grid Assets Using Centralized Production Databases. International Journal Of Advances In Signal And Image Sciences, 50-87.
16. Upadhyay, H. (2026). Agentic AI orchestration frameworks for composable commerce ecosystems: A case study of enterprise transformation. American Journal of Technology, 5(1), 40-54.
17. Namdeo, A. (2025). AI-Driven Audio & Speech Analytics as a Cloud BI Input Layer. International Journal of Research Publications in Engineering, Technology and Management (IJRPETM), 8(6), 13358-13367.
18. Polamreddy, V. R. (2025). Architecting Financially Compliant Enterprise Point-of-Sale Systems: Data Integrity and Revenue Recognition at Scale. International Journal of Advanced Research in Computer Science & Technology (IJARCST), 8(5), 12993-13104.
19. Rajan, P. K. (2026, February). Privacy-Preserving On-Device AI for Personalized Mobile Video Advertising. In SoutheastCon 2026 (pp. 1-6). IEEE.
20. Dama, H. III, Researcher. (2025). Secure Credential Management in Cloud Databases Using Azure Key Vault Integration. INTERNATIONAL JOURNAL OF COMPUTER ENGINEERING & TECHNOLOGY, 16, 163-176.
21. Chaganti, S. (2026). Adaptive Pricing Orchestration: A Hybrid Forecasting–Optimization Architecture for 150 million Daily Decisions in Global Tourism Revenue Management. International Journal of Computer Technology and Electronics Communication, 9(1), 51-60.
22. Kotla, M. R. T. (2026). AI-driven data integration for mergers and acquisitions: Automating entity resolution and system consolidation. International Journal of Engineering & Extended Technologies Research (IJEETR), 8(1), 198–201.
23. Manda, P. (2025). Disaster recovery by design: Building resilient Oracle database systems in cloud and hyperconverged environments. International Journal of Research and Applied Innovations, 8(4), 12568-12579.
24. Barigidad, S. (2025). Edge-Optimized Facial Emotion Recognition: A High-Performance Hybrid Mobilenetv2-Vit Model. International Journal of AI, BigData, Computational and Management Studies, 6(2), 1-10.
25. Singh, A. (2025). Intent-Based Networking in Multi-Cloud Environments. Journal of Engineering and Applied Sciences Technology. SRC/JEAST-411, 288, 2-7.
26. Sunnam, S. V. B. R. (2026). A Review of Blockchain Applications For Secure and Transparent Financial Services with Big Data Analysis. International Journal of Emerging Research in Engineering and Technology, 7(1), 69-77.
27. Karnam, A. (2026). Operational Intelligence for SAP: How AI Agents Transform Incident Response and System Health. International Journal of Science, Research and Technology, 9(1), 59-67.
28. Gopisetty, S. (2025). When the pipeline breaks the blueprint: Teaching AI to spot architecture drift before it undoes the bank. ISCSITR-International Journal of Software Engineering and Development (ISCSITR-IJSED), 6(6), 7–27.
29. Makkena, B. Zero-Downtime Deployment Strategies In Financial-Grade CI/CD Pipelines: Enabling Continuous Compliance And Resilience. International Journal of Environmental Sciences, 11(19s), 2025.
30. Damarched, M. K. (2026). Intelligent workflow automation systems to enhance nursing efficiency and patient safety. Journal of Drug Delivery and Therapeutics, 16(2), 198-206.
31. Konda, S. K. (2024). Sustainable energy optimization through cloud-native building automation and predictive analytics integration. World Journal of Advanced Research and Reviews, 24(3), 3619–3628. https://doi.org/10.30574/wjarr.2024.24.3.3803
32. Grandhe, K. (2025). Impact of Real-Time Analytics on Strategic Decision-Making in Large Organizations. IJSAT-International Journal on Science and Technology, 16(4).
33. Prasanna, D., & Manishvarma, R. (2025, February). Skin cancer detection using image classification in deep learning. In 2025 3rd International Conference on Integrated Circuits and Communication Systems (ICICACS) (pp. 1-8). IEEE.
34. Ramidi, M. (2025). MySTORI Mobile Health Research App-Empowering Brain Cancer Patients through Digital Health Innovation. Journal of Computer Science and Technology Studies, 7(8), 955-963.
35. Aakula, R. (2026). Automated regulatory reporting using AI-powered BI systems. International Journal of Engineering & Extended Technologies Research, 8(1), 131–137.
36. Damarched, M. K. (2026). Applying LLMs to Legacy System Modernization in Higher Education IT: Leveraging Large Language Models Beyond Chatbots to Modernize Core Student and Administrative Systems in Universities— A Suggestive Review Study. International Journal of Innovative Science and Research Technology (IJISRT), 11(01), 3043-3061.
37. Jabed, M. M. I., Sarwar, J., Afrin, S., & Gupta, A. B. (2026). Machine Learning-Driven Cyber Defense: Enhancing US Critical Infrastructure Resilience. International Journal of Innovative Science and Research Technology (IJISRT), 11(01), 1874-1885.
38. Gadige, C. D. (2025). Building the adaptable enterprise: Trends in composable and event-driven Salesforce architectures. International Journal of Research and Applied Innovations (IJRAI), 8(6), 13119–13125.
39. Kamadi, S. (2024). GenAI data engineering: Synthetic data and feature engineering framework for cloud analytics. World Journal of Advanced Research and Reviews, 24(1), 2867–2877. https://doi.org/10.30574/wjarr.2024.24.1.3165
40. Madheswaran, M., Dhanalakshmi, R., Ramasubramanian, G., Aghalya, S., Raju, S., & Thirumaraiselvan, P. (2024, April). Advancements in immunization management for personalized vaccine scheduling with IoT and machine learning. In 2024 10th International Conference on Communication and Signal Processing (ICCSP) (pp. 1566-1570). IEEE.
41. Sanepalli, Uttama Reddy. (2023). Cybersecurity Framework for Multi-Cloud Deployment Pipelines: A Zero-Trust Architecture for Inter-Platform Data Protection. International Journal of Research in Computer Applications and Information Technology (IJRCAIT), 6(1), 191-206.
42. Adari, V. K. (2020). Intelligent Care at Scale AI-Powered Operations Transforming Hospital Efficiency. International Journal of Engineering & Extended Technologies Research (IJEETR), 2(3), 1240-1249.