Applying AI and Machine Learning to Enhance Automated Cybersecurity and Network Threat Identification.

Artificial intelligence (AI) is now used in many sectors but its transformative impact on cybersecurity is unmatched. Cybersecurity is seen to rely heavily on artificial intelligence (AI), which has brought about automation of responses, detection of network threats and security consciousness. This paper examines various modern techniques involving deep learning, machine learning and behavior analysis among others that are used in dealing with the increasing number and complexity of cyber threats. The research also looks at how automated cybersecurity response and decision-making capacities have been transformed through AI. It also investigates into security intelligence modeling as a means of offering actionable insights towards strengthening organizational resilience. Additionally, the goal of this paper is to provide a nuanced understanding of how AI is reshaping cybersecurity and to outline future pathways for research and development in this dynamic field. [ABSTRACT FROM AUTHOR]