AI and Machine Learning in Cybersecurity: New Frontiers in Threat Prediction and Response
Keywords:
Artificial Intelligence, Machine Learning, Cybersecurity, Threat Prediction, Autonomous Response, Threat Intelligence, Security Automation, Anomaly DetectionAbstract
The rapid evolution of cyber threats has necessitated a transformative shift in cybersecurity strategies. Artificial Intelligence (AI) and Machine Learning (ML) are at the forefront of this transformation, offering advanced capabilities in threat detection, prediction, and autonomous response. This paper explores how AI and ML technologies are redefining cybersecurity practices, enhancing threat intelligence, automating incident response, and predicting potential attacks before they occur. Through a detailed analysis of current methodologies, innovative use cases, and emerging trends, the paper highlights both the opportunities and challenges associated with the deployment of AI-driven security solutions. It concludes by outlining critical considerations for the future integration of AI and ML in cybersecurity ecosystems.
