Latest research in Digital Forensic Identification and Acquisition Tools focuses on developing advanced methodologies and software to efficiently identify, collect, and preserve digital evidence from diverse sources, including computers, mobile devices, cloud platforms, and IoT networks. Studies emphasize automation in network traffic acquisition, enhanced imaging and hashing techniques, and the integration of artificial intelligence to improve accuracy and reduce human error. Researchers are also addressing challenges in mobile and cloud forensics, encrypted or damaged storage media, and compliance with legal standards, while survey-based studies highlight the practical adoption of these tools by forensic practitioners. Additionally, initiatives in countries like India are creating indigenous forensic toolkits and image repositories to support law enforcement and research, ensuring secure, reliable, and comprehensive digital evidence management.