The increasing complexity of cybersecurity threats demands new approaches to enhance digital security, particularly for small and medium-sized enterprises (SMEs), which face unique challenges in adapting to a rapidly evolving technological landscape. This study explores the role of metrics-driven cybersecurity frameworks and the importance of integrating human factors into security models. It highlights the significance of the Cyber Trust Index (CTI) as an innovative methodology that combines quantitative security performance assessment with organizational and social contexts. Additionally, the research underscores the growing need for cybersecurity education and workforce development, emphasizing the integration of artificial intelligence (AI) and advanced cryptographic techniques as key components in fortifying digital infrastructures. The findings suggest that the adoption of flexible cybersecurity frameworks and advanced threat detection models is essential for organizations to enhance resilience and maintain robust security measures. The paper concludes by discussing the implications of these frameworks for future cybersecurity policies and industry best practices.
Cybersecurity, Metrics, Artificial Intelligence, Cyber Trust Index, SMEs, Cryptographic Methods
IRE Journals:
Flavio Ambrosio da Silva , Eliomar Gotardi Pessoa , Hugo Santos , Wilson Leite Rebouças Filho; Leonardo da Silva , Carlos Eduardo Campos de Oliveira; Luis Joivan Nunes Dahmer
"Evolving Approaches in Cybersecurity: Metrics and Human Factors" Iconic Research And Engineering Journals Volume 8 Issue 7 2025 Page 678-679
IEEE:
Flavio Ambrosio da Silva , Eliomar Gotardi Pessoa , Hugo Santos , Wilson Leite Rebouças Filho; Leonardo da Silva , Carlos Eduardo Campos de Oliveira; Luis Joivan Nunes Dahmer
"Evolving Approaches in Cybersecurity: Metrics and Human Factors" Iconic Research And Engineering Journals, 8(7)