AI Driven Innovations in Cyber Security

Abstract

Abstract: The explosion of cyber threats presents a huge challenge to traditional cyber security methods, requiring the integration of advanced technologies such as artificial intelligence. This research paper provides an in-depth analysis of the current landscape of AI applications in cybersecurity. We will look at different AI techniques, such as machine learning, deep learning, natural language processing and anomaly detection, and explain their role in improving threat detection, incident response and vulnerability management. In addition, we explore AI-based cybersecurity challenges such as competitor attacks, data protection issues, and model interpretability. Based on recent advances and emerging trends, we propose future research directions to address these challenges and realize the full potential of AI to protect digital assets and critical infrastructure. Our synthesis aims to inform policymakers, industry participants and researchers about the transformative impact of AI on cybersecurity and inspire collaboration to build resilient and adaptive defenses in the face of evolving cyber threats.