Abstract:
Artificial Intelligence (AI) is revolutionizing the field of cybersecurity by enhancing traditional frameworks and introducing advanced capabilities for threat detection, response, and prediction. This research article explores the multifaceted role of AI in fortifying cybersecurity frameworks, focusing on its integration into established practices and its potential to address rapidly evolving cyber threats. AI algorithms excel in detecting complex patterns and anomalies that elude traditional methods, providing a critical layer of intelligence that speeds up response times and increases accuracy. Moreover, AI's predictive capabilities enable proactive threat management, forecasting potential security breaches before they occur. This paper also discusses the automation of routine tasks, which frees up valuable resources and allows cybersecurity professionals to focus on more strategic initiatives. However, the integration of AI into cybersecurity poses ethical and technical challenges, including concerns about data privacy, algorithmic bias, and the need for continuous system updates and maintenance. Economic considerations also play a significant role, as organizations must weigh the costs against the enhanced security AI promises. By examining these aspects through case studies and expert analyses, this article aims to provide a comprehensive understanding of how AI can be effectively integrated into cybersecurity frameworks, thereby enhancing their effectiveness and resilience against the sophisticated cyber threats of the digital age.
Page(s):
1483-1489
DOI:
DOI not available
Published:
Journal: International Journal of Communication Networks and Information Security, Volume: 16, Issue: 4, Year: 2024
Keywords:
Artificial Intelligence
,
automation
,
threat detection
,
predictive analytics
,
Cybersecurity Frameworks