Artificial Intelligence in Cybersecurity Threat Detection

Abstract-The rapid growth of digital technologies has led to an exponential rise in cyber threats, making traditional security measures inadequate in combating sophisticated cyberattacks. Artificial Intelligence (AI) has emerged as a crucial technology in cybersecurity, offering enhanced threat detection through machine learning, deep learning, and behavioral analytics. AI-driven cybersecurity solutions can analyze vast datasets in real time, detect anomalies, predict potential attacks, and automate threat mitigation. By leveraging AI, organizations can strengthen their defense mechanisms against evolving cyber threats, including ransomware, phishing, and advanced persistent threats (APTs). This paper delves into the role of AI in cybersecurity, focusing on its applications in real-time threat detection, anomaly identification, and predictive analytics. Additionally, it examines the advantages, challenges, and future trends in AI-driven cybersecurity, emphasizing the importance of integrating AI with other security technologies to create a robust defense ecosystem. The findings suggest that AI-powered cybersecurity solutions significantly enhance security resilience, but ethical concerns, adversarial AI attacks, and implementation challenges must be addressed for widespread adoption.