This study proposes and quantitatively evaluates a secure-by-containment architectural framework for deploying agentic artificial intelligence (AI) within operational technology and industrial control system (OT/ICS) environments. Agentic AI systems introduce autonomous planning...
Open access
Research Article10.9734/ajrcos/2026/v19i3833
Akinde Michael Ogunmolu, Oluwaseun Oladeji Olaniyi, Anuoluwapo Deborah Popoola, Anthony Obulor Olisa & Oluwatobi Bamigbade·Journal of Energy Research and Reviews·2025
This research develops and validates autonomous artificial intelligence agents for fault detection and self-healing in smart manufacturing systems within the context of Industry 4.0, addressing critical challenges in operational efficiency and reliability. Motivated by the need t...
Open access
Research Article10.9734/jenrr/2025/v17i8445
The increasing complexity and vulnerability of modern energy systems underscore the urgent need for intelligent, resilient, and sustainable infrastructure solutions. However, challenges such as cybersecurity risks, ethical governance concerns, and interoperability barriers hinder...
Open access
Research Article10.9734/jenrr/2025/v17i7434
This study investigates the integration of Generative Artificial Intelligence (AI) and Behavioral Biometrics within Zero Trust cybersecurity frameworks tailored for healthcare systems. Drawing on public datasets—including MITRE ATT&CK for Enterprise, UNSW Behavioral Biometric...
Open access
Research Article10.9734/jerr/2025/v27i51502
This study presents a comprehensive framework designed to enhance data security in artificial intelligence (AI) systems by integrating robust cybersecurity measures with information governance principles. Employing a convergent parallel mixed-methods design, the research combines...
Open access
Research Article10.9734/jerr/2025/v27i51500
Valerie Ojinika Ejiofor, Akinde Michael Ogunmolu, Michael Olayinka Gbadebo, Sunday Abayomi Joseph & Temilade Oluwatoyin Adesokan-Imran·Journal of Engineering Research and Reports·2025
This study investigates the application of artificial intelligence (AI) in managing cybersecurity risks associated with third-party vendors in healthcare systems. With third-party breaches accounting for a significant proportion of healthcare data compromises, this research seeks...
Open access
Research Article10.9734/jerr/2025/v27i51498
Faith Hauwa Oluwapamilerin Kolo, Sunday Abayomi Joseph, Akinde Michael Ogunmolu, Valerie Ojinika Ejiofor & Seun Michael Oyekunle·Journal of Engineering Research and Reports·2025
This study investigates how strategic third-party risk governance frameworks can mitigate cybersecurity threats in financial institutions. Using data from the Verizon Data Breach Investigations Report, the Basel Committee’s Quantitative Impact Study, and the Privacy Rights Cleari...
Open access
Research Article10.9734/jerr/2025/v27i51501
This study examines how prompt injection and training data poisoning compromise artificial intelligence (AI) systems operating within PCI DSS–protected financial environments and evaluates the adequacy of existing compliance controls in addressing these emerging threats. A multi-...
Open access
Research Article10.9734/ajrcos/2026/v19i3836
Abayomi Titilola Olutimehin, Oluwaseun Oladeji Olaniyi, Anuoluwapo Deborah Popoola, Akinde Michael Ogunmolu & Faith Hauwa Oluwapamilerin Kolo·Asian Journal of Research in Computer Science·2025
Predictive maintenance has emerged as a cornerstone of Industry 4.0, enabling manufacturers to proactively identify and address equipment failures, minimize unplanned downtime, and optimize operational costs. However, realizing effective predictive maintenance in smart manufactur...
Open access
Research Article10.9734/ajrcos/2025/v18i7724
Oluwatobi Bamigbade, Emonena Patrick Obrik-Uloho, Faith Hauwa Oluwapamilerin Kolo, Akinde Michael Ogunmolu & Temilade Oluwatoyin Adesokan-Imran·Journal of Energy Research and Reviews·2025
Zero-carbon grids increasingly rely on pervasive sensing and AI-driven automation, yet most learning engines still assume clean, synchronous data and bolt-on security tools. We introduce a six-layer, data-centric AI framework that (i) raises data quality before inference, (ii) fu...
Open access
Research Article10.9734/jenrr/2025/v17i7442
Seun Michael Oyekunle, Anuoluwapo Deborah Popoola, Faith Hauwa Oluwapamilerin Kolo, Akinde Michael Ogunmolu & Temilade Oluwatoyin Adesokan-Imran·Asian Journal of Research in Computer Science·2025
This study investigates the integration of behavioural biometrics and data governance in enhancing fraud prevention systems within the banking sector. Behavioural biometrics refers to the analysis of unique patterns in user interactions—such as typing rhythm, mouse movement, and...
Open access
Research Article10.9734/ajrcos/2025/v18i5672
This study presents a hybrid federated learning and explainable artificial intelligence framework, termed RobustFL, designed to mitigate adversarial attacks in medical imaging while incorporating privacy-preserving mechanisms. Focusing on chest X-ray analysis, the research system...
Open access
Research Article10.9734/ajrcos/2026/v19i4852
The rapid adoption of artificial intelligence (AI) in healthcare analytics has raised significant concerns regarding patient data privacy, security, and regulatory compliance. This study develops a Privacy-by-Design (PbD) data governance model tailored for AI-driven healthcare an...
Open access
Research Article10.9734/ajrcos/2026/v19i3835