Article section
The Role of Artificial Intelligence in Cybersecurity: Understanding the Dynamics, Impacts, and Remediations
Abstract
This study explores the transformative role of Artificial Intelligence (AI) in enhancing cybersecurity measures. The integration of AI into cybersecurity frameworks offers significant advancements in threat detection, prevention, and response. Leveraging machine learning algorithms and sophisticated data analytics, AI systems can analyze large datasets in real-time to identify patterns and anomalies that indicate potential security threats. This capability allows for the early detection of cyber threats that traditional security measures might miss. AI also improves threat intelligence by learning from new data and evolving attack methodologies, enhancing predictive accuracy. The research highlights how AI-driven automation can expedite incident response, thereby reducing the damage and costs associated with security breaches. Additionally, AI strengthens authentication processes through behavioral biometrics and anomaly detection, offering robust protection against identity theft and fraud. However, the study also addresses the challenges posed by AI in cybersecurity, including the potential for adversaries to use AI for developing sophisticated attacks and the ethical concerns surrounding AI algorithms’ biases and transparency. The research argues for a balanced approach that maximizes AI’s benefits while mitigating its risks. Ensuring transparency, accountability, and continuous improvement of AI models is critical for maintaining trust and efficacy in AI-powered cybersecurity solutions. This research concludes that while AI significantly enhances cybersecurity capabilities, addressing its inherent challenges is essential for its successful and ethical application in the cybersecurity domain.
Keywords:
Artificial Intelligence Cybersecurity Data Loss Protection Machine Learning
Article information
Journal
Journal of Computer, Software, and Program
Volume (Issue)
2(1), (2025)
Pages
1-9
Published
Copyright
Copyright (c) 2025 Asere Gbenga Femi, Nuga Kehinde Adetayo, Madu Medugu (Author)
Open access

This work is licensed under a Creative Commons Attribution 4.0 International License.
How to Cite
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