Adebola Folorunso

• Capella University

Explainable Artificial Intelligence (XAI) through human-AI collaborative frameworks is essential for building trust and interpretability in high-stakes decision-making processes. As AI systems are increasingly deployed in critical areas such as healthcare, finance, and criminal justice, the need for transparency and accountability in AI-driven deci...

As organizations increasingly adopt cloud computing, ensuring data compliance has become a critical priority. Cloud environments pose unique challenges in meeting regulatory requirements due to their distributed and often multi-tenant nature. This review presents a comprehensive model for achieving data compliance in cloud computing, addressing ess...

The rapid adoption of cloud computing has transformed how organizations manage their IT resources, necessitating robust governance frameworks to address the complexities and risks inherent in cloud environments. This review proposes a comprehensive governance framework model that integrates the roles of artificial intelligence (AI), security, compl...

The rapid evolution of cloud computing has transformed data management, operational efficiency, and artificial intelligence (AI) capabilities across industries. However, this advancement presents new challenges in governance, compliance, and management, necessitating a comprehensive policy framework to ensure secure, ethical, and effective cloud us...

The rapid expansion of cloud computing and artificial intelligence (AI) has driven transformative change across various industries, presenting both opportunities and challenges in the realms of compliance and governance. This review examines the distinctive and overlapping compliance and governance issues faced by the United States (USA) and Africa...

The rapid growth of Artificial Intelligence (AI) presents both significant opportunities and challenges for developing countries. A well-structured policy framework is crucial to maximize the benefits of AI while mitigating its risks. This review proposes a comprehensive AI policy framework tailored to developing countries, emphasizing the need for...

Artificial Intelligence (AI) is transforming the field of cybersecurity and reshaping security compliance practices. As cyber threats become increasingly complex, AI offers powerful tools for identifying, mitigating, and preventing attacks in real-time. AI-driven systems excel at processing vast amounts of data, detecting anomalies, and identifying...

The increasing frequency and sophistication of cyber threats have made organizations need to adopt robust cybersecurity frameworks. ISO security standards, particularly the ISO/IEC 27000 series, play a critical role in enhancing organizations' cybersecurity posture worldwide. These standards provide a systematic approach to managing sensitive infor...

Security compliance plays a critical role in shaping and enhancing the cybersecurity posture of organizations. It involves adhering to legal, regulatory, and industry standards that govern data protection, privacy, and security measures. Key regulations, such as GDPR, HIPAA, and PCI DSS, along with international standards like ISO/IEC 27001 and NIS...

Financial cybersecurity is of paramount importance in today's digital age, particularly in the United States, where the financial sector plays a crucial role in the global economy. With the increasing frequency and sophistication of cyber threats, traditional fraud detection systems are facing significant challenges in keeping pace with evolving ri...

Fraud in financial transactions remains a significant challenge for the US financial sector, necessitating the development of advanced detection mechanisms. Traditional methods, often limited by their reactive nature and inability to handle large volumes of data in real-time, are increasingly being supplemented and replaced by AI-driven approaches....

The rapid advancement of technology and the increasing sophistication of fraudulent activities have propelled the need for more effective fraud detection mechanisms in various industries, particularly in financial services. This paper explores the impact of advanced analytics on fraud detection, emphasizing the role of machine learning (ML) in enha...

Fraud prevention in financial transactions has become increasingly critical as digital payment methods proliferate and cybercriminals employ more sophisticated techniques. Traditional rule-based systems, while still in use, often fall short in detecting complex and evolving fraud patterns. Machine Learning (ML) approaches offer a robust alternative...

Digital transformation in Africa offers the continent a huge chance to overcome long-standing socioeconomic obstacles and promote sustainable economic growth. Africa has the opportunity to boost productivity, improve governance, and tackle important issues in industries like agriculture, healthcare, education, and finance with the help of technolog...

The term "digital transformation" describes how digital technologies are incorporated into every aspect of governance, business, and society, radically altering how companies function and provide value. The United Nations Sustainable Development Goals (SDGs) list several global difficulties that the world must overcome, and digital transformation i...

In the rapidly evolving landscape of cyber financial fraud, traditional detection methods are increasingly inadequate to counter sophisticated fraudulent activities. This study examines the potential of deep learning techniques, specifically focusing on neural networks and anomaly detection, to enhance cyber financial fraud detection. Neural networ...