International Journal of Contemporary Research in Multidisciplinary

Abstract:

This study explores the integration of artificial intelligence (AI) within cybersecurity frameworks, examining its potential to enhance threat detection, response capabilities, and overall resilience against sophisticated cyber threats. Through a mixed-methods approach combining quantitative and qualitative data, this study investigates the operational benefits of AI in automating threat analysis, reducing response times, and enabling proactive security measures. Additionally, it addresses the ethical concerns associated with AI, such as algorithmic bias, data integrity, and transparency. The findings suggest that AI significantly strengthens cybersecurity defenses; however, barriers to adoption, including high implementation costs and a skills gap within the workforce, remain substantial. Recommendations are proposed to mitigate these challenges, emphasizing the need for ethical guidelines, collaboration among stakeholders, and continuous workforce development. The paper concludes by outlining future research directions, particularly regarding AI’s role in countering emerging cyber threats. This study contributes to the understanding of how AI can be responsibly leveraged to advance cybersecurity in a digital-first world.

Keywords:

Artificial Intelligence, Cybersecurity, Threat Detection, Ethical AI, Algorithmic Bias, Workforce Development, Proactive Security, Data Integrity, Cyber Threats, Mixed-Methods Analysis.

Aim/Objectives

Methods