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Integrated AI and Security and Compliance Frameworks for Scalable Enterprise and Healthcare and Finance and IoT Data Ecosystems

Mansour Salem Khalid

Senior Software Engineer, UAE

Abstract

The rapid integration of Artificial Intelligence (AI) into enterprise, healthcare, finance, and Internet of Things (IoT) ecosystems has significantly enhanced operational efficiency, predictive analytics, automation, and real-time decision-making. However, the increasing reliance on data-driven intelligence introduces substantial security, privacy, governance, and regulatory compliance challenges. These challenges are particularly critical in highly regulated sectors such as healthcare and finance, where sensitive data must be protected while maintaining system scalability and interoperability. This study proposes an integrated AI-security-compliance framework designed to enable scalable, resilient, and regulation-aligned data ecosystems across heterogeneous environments. The framework synthesizes principles from AI governance, cybersecurity architectures, privacy engineering, zero-trust models, and regulatory standards such as GDPR, HIPAA, ISO 27001, NIST AI Risk Management Framework, and financial compliance mandates. The research evaluates how adaptive security architectures, automated compliance monitoring, explainable AI models, federated learning, and privacy-preserving computation can be systematically unified. A multi-layered architectural model is presented, incorporating data governance, model lifecycle management, threat intelligence integration, and continuous compliance auditing. The study contributes a scalable blueprint for organizations seeking to operationalize trustworthy AI systems without compromising innovation, resilience, or regulatory integrity across complex, distributed digital ecosystems

Article Information

Journal

International Journal of Advanced Engineering Science and Information Technology (IJAESIT)

Volume (Issue)

Vol. 6 No. 6 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT)

DOI

https://doi.org/10.15662/IJAESIT.2023.0606003

Pages

12843-12852

Published

November 13, 2023
Copyright

Open Access

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

Mansour Salem Khalid (2023). Integrated AI and Security and Compliance Frameworks for Scalable Enterprise and Healthcare and Finance and IoT Data Ecosystems. International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , Vol. 6 No. 6 (2023): International Journal of Advanced Engineering Science and Information Technology (IJAESIT) , pp. 12843-12852. https://doi.org/10.15662/IJAESIT.2023.0606003

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