Resilient Digital Intelligence for Healthcare Enterprises Banking Security and Operational Risk
Abstract
: The increasing reliance on digital systems across healthcare, enterprise operations, and banking sectors has intensified the need for resilient digital intelligence frameworks capable of ensuring security, reliability, and operational continuity. With the rapid adoption of artificial intelligence, cloud computing, and big data analytics, organizations are exposed to evolving cyber threats, system failures, and operational risks that can significantly impact service delivery and financial stability. Healthcare systems face risks related to patient data breaches and clinical decision disruptions, while banking institutions are highly vulnerable to fraud, cyberattacks, and transactional anomalies. Enterprises, meanwhile, must manage complex digital infrastructures where downtime or data corruption can lead to substantial operational losses.
This research proposes a Resilient Digital Intelligence framework that integrates advanced AI-driven analytics, cybersecurity mechanisms, risk prediction models, and adaptive response systems. The framework is designed to detect anomalies in real time, ensure system robustness under attack or failure conditions, and support decision-making through predictive intelligence. It incorporates machine learning models for threat detection, blockchain for data integrity, and cloud-native architectures for scalability and fault tolerance.
The study further explores how operational risk can be minimized through intelligent automation and continuous monitoring systems. By unifying resilience, security, and intelligence, the framework aims to strengthen digital ecosystems across critical sectors, ensuring trust, compliance, and uninterrupted service delivery in increasingly complex and interconnected environments.
Article Information
Journal |
International Journal of Science, Research and Technology |
|---|---|
Volume (Issue) |
Vol. 7 No. 5 (2024): International Journal of Science, Research and Technology (IJSRAT) |
DOI |
|
Pages |
12849-12858 |
Published |
October 3, 2024 |
| Copyright |
All rights reserved |
Open Access |
This work is licensed under a Creative Commons Attribution 4.0 International License. |
How to Cite |
Prema Veerapaneni (%2024). Resilient Digital Intelligence for Healthcare Enterprises Banking Security and Operational Risk. International Journal of Science, Research and Technology , Vol. 7 No. 5 (2024): International Journal of Science, Research and Technology (IJSRAT) , pp. 12849-12858. https://doi.org/10.15662/IJSRAT.2024.0705009 |
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