Abstract:
The rapid evolution of cyber threats in today's interconnected world demands innovative and adaptive defense mechanisms. Artificial Intelligence (AI) has emerged as a key enabler in modern cybersecurity, offering capabilities that extend beyond traditional rule-based systems. This paper explores the transformative role of AI in strengthening cybersecurity through threat detection, anomaly identification, intrusion prevention, and automated response systems. We review the application of machine learning, deep learning, and natural language processing in analyzing vast amounts of network data to detect sophisticated attacks in real time. Special emphasis is placed on AI-driven security solutions, such as predictive analytics, behavior-based detection, and intelligent threat hunting. Despite its promise, the integration of AI into cybersecurity poses challenges, including model interpretability, data privacy, adversarial attacks, and ethical concerns. The paper concludes with an outlook on how hybrid human-AI collaboration and advances in explainable AI can shape the future of resilient and trustworthy cybersecurity systems.
Page(s):
28-28
DOI:
DOI not available
Published:
Journal: 4th International Conference of Sciences “Revamped Scientific Outlook of 21st Century, 2025” , November 12,2025, Volume: 1, Issue: 1, Year: 2025
Keywords:
Artificial Intelligence
,
Cyber Threats
,
threat detection
,
Intrusion Prevention
,
Anomaly Identification