Enhancing Cyber Forensics with AI and Machine Learning: A Study on Automated Threat Analysis and Classification

The escalating frequency and complexity of cyber-attacks have necessitated the development of effective cyber forensic investigation techniques. This research investigates the utilization of machine learning and artificial intelligence (AI) in automated analysis and classification of cyber threats, aiming to enhance the understanding of their role in cyber forensics. Employing case studies, observations, and surveys, information was gathered from forensic investigators and cybersecurity experts. The case studies comprehensively examine organizations that have implemented AI and machine learning in cyber forensics. Observational methods involve attending conferences and closely observing investigators during forensic analysis. Survey data from forensic investigators and cybersecurity experts were collected to gain insights into the application of these novel investigation methods in cyber forensics. The findings demonstrate that AI and machine learning are emerging as powerful tools for augmenting cyber forensic investigations, particularly in the realms of threat detection and classification. The case studies reveal that businesses adopting these technologies have experienced notable improvements in the efficiency and precision of forensic investigations. This study underscores the potential advantages of integrating artificial intelligence and machine learning in advancing digital forensic investigations and provides valuable insights into their roles in cyber forensics. Accelerated analytical procedures and enhanced threat detection capabilities are evident outcomes of incorporating these technologies. By leveraging AI and machine learning, investigations can be expedited, enabling prompt responses to cyber threats and reducing overall risk exposure for businesses. As the cybersecurity landscape continues to evolve, the successful integration of AI and machine learning in the industry holds the promise of ushering in a new era of proactive threat detection, bolstering organizations' capacity to safeguard digital assets.