Cybersecurity Challenges and Automation Frameworks in Modern Digital Transformation Initiatives

Abstract

The new digital transformation trends are now centered on automation frameworks and cybersecurity concerns as organizations are adopting cloud computing, DevSecOps pipelines, IoT systems, and software-defined infrastructures. Even though the technologies enhance agility, scalability, and operational efficiency, it also adds additional agile attack surfaces and dynamic and challenging security threats. The level, pace and scope of modern cyber threats including zero-day and pseudo-zero-day attacks have made the rule-based and manual protection systems inadequate. This paper will present a summary of automated cybersecurity systems that focus on the application of AI and ML to be more active, adaptive, and effective in cyber defense. Some of the areas that have been discussed are security automation and orchestration, AI threat intelligence, predictive analytics, incident response automation, self-healing systems, and architecture, such as Zero Trust architecture and defense-in-depth. Issues in the paper concern also the privacy of the data, compliance with regulations, and adversarial attacks, as well as gaps in the competencies of the working staff, which requires intelligent, scalable, and reliable security measures.