Cyber forensics analytics with AI

This paper thoroughly examines the role of Artificial Intelligence (AI) in digital forensics, showcasing its potential to tackle complex cyber threats and the growing amount of digital data. It starts by discussing key AI technologies, particularly machine learning and deep learning, and their importance in forensic investigations. As cyber threats become increasingly sophisticated, the field of cyber forensics is also advancing. At the forefront of this evolution is artificial intelligence (AI), which is transforming how cyber forensics operates. This article examines the effects of AI on cyber forensics in terms of identifying, monitoring, and preventing cyber threats. By employing AI-driven tools, cyber forensics can process larger datasets, recognize patterns, and detect anomalies, leading to a deeper understanding of cyber incidents. The increasing frequency and complexity of cyber- attacks necessitates the development of competent cyber forensic investigative methodologies. This study looks into the use of machine learning and artificial intelligence (AI) in automated threat analysis and classification, with the goal of better understanding their function in cyber forensics. Forensic investigators and cybersecurity specialists provided information through case studies, observations, and surveys. This study highlights the potential benefits of incorporating artificial intelligence and machine learning to advance digital forensic investigations, as well as providing significant insights into their roles in cyber forensics. Incorporating these technologies has obvious benefits, like faster analytical methods and improved threat detection capability. Investigations may be accelerated by integrating AI and machine learning, allowing firms to respond quickly to cyber threats and reduce overall risk exposure. As the cybersecurity landscape evolves, the successful integration of AI and machine learning in the sector has the promise of ushering in a new era of proactive threat identification, hence strengthening organisations' ability to protect digital assets.