INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN ENHANCING CYBERSECURITY: A STUDY OF EMERGING TRENDS
DOI:
https://doi.org/10.29121/shodhkosh.v5.i4.2024.3452Keywords:
Artificial Intelligence, Cybersecurity, Machine Learning, Threat Detection, Digital Ecosystems, Predictive Analytics, Ethical AIAbstract [English]
The exponential growth in digital infrastructure and increasing dependence on connected systems have highlighted the importance of robust cybersecurity mechanisms. Artificial Intelligence (AI) has emerged as a transformative force, reshaping the domain of cybersecurity with its ability to predict, detect, and mitigate threats in real-time. This study explores the innovative applications of AI in enhancing cybersecurity, analyzing its implications, limitations, and specific case studies. Drawing from recent advancements, the paper provides actionable insights into how AI can address existing challenges and foster resilient digital ecosystems. The broader implications of these developments on organizational policies, ethical frameworks, and industry standards are also examined, providing a comprehensive overview.
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The study highlights both potentials and risks of integrating AI into cybersecurity.
Secondary data were validated through cross-referencing multiple reputable sources.
Case studies underscore the real-world relevance of AI in critical sectors.
The intersection of ethics and technology remains a vital area for further investigation.
AI explainability emerged as a critical theme in addressing stakeholder concerns.
Collaborative frameworks are essential to address global cybersecurity challenges.
Surveys revealed that 90% of respondents endorse AI as transformative but require better understanding of its limitations.
Detailed findings emphasize sector-specific nuances in adopting AI-driven solutions.
Insights from case studies provide foundational learning for similar implementations.
The study’s mixed-methods approach strengthens the reliability of its conclusions.
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Copyright (c) 2024 Radhika A
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