Year: 2025
Type: article
Abstract: The dynamic nature of cybersecurity threats necessitates an adaptive and proactive approach.Agile methodologies, widely used in software development, are increasingly applied in cybersecurity to enhance threat detection, risk management, and response mechanisms.Traditional security models often fail to adapt to the fastevolving threat landscape, leaving organizations vulnerable.By leveraging Agile principles such as iterative development, collaboration, and continuous feedback, cybersecurity teams can respond to threats more efficiently.This paper explores the integration of Agile management in cybersecurity, highlighting key benefits, challenges, and statistical insights.We examine case studies, industry adoption, and Agile frameworks suited for cybersecurity operations.Furthermore, we analyze the role of artificial intelligence and machine learning in optimizing Agile security strategies.The study aims to provide a comprehensive understanding of Agile methodologies' impact on cybersecurity resilience and how organizations can implement these strategies to safeguard their digital assets.
DOI: 10.56726/irjmets1491
Language: English
Subfield: Information Systems
Field: Computer Science
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W4409591368