As artificial intelligence advances, it continues to revolutionize every field, including digital forensics. In an era where cybercrime is sophisticated and data breaches are common, digital forensics plays a crucial role in uncovering evidence, solving crimes, and ensuring justice. The integration of AI technologies into digital forensic investigations has enhanced the ability to analyze data quickly and accurately, uncover hidden patterns, and track complex digital footprints. However, this technological evolution also presents new challenges, as AI can both assist criminals in covering their tracks and introduce ethical dilemmas regarding privacy and data security. Navigating the intersection of digital forensics and AI requires cutting-edge tools and further understanding of the potential risks and opportunities they bring. Digital Forensics in the Age of AI explores the rapidly evolving intersection of deep learning and cybersecurity, offering in-depth analysis on how AI-driven techniques are being used to address complex security challenges. It provides a comprehensive view of the current research landscape while identifying emerging trends, cutting-edge methodologies, and practical applications of deep learning in cybersecurity. This book covers topics such as fraud detection, cybercrime, and Internet of Things, and is a useful resource for computer engineers, security professionals, business owners, academicians, researchers, and scientists.