Latest research in Data Integrity Assured Mobile Forensics focuses on developing methodologies, frameworks, and AI-driven tools to ensure the authenticity, reliability, and integrity of digital evidence acquired from mobile devices. Studies emphasize secure data acquisition techniques, verification of multimedia content, and the preservation of evidence during extraction and analysis, addressing challenges posed by encryption, frequent OS updates, and diverse device platforms. Research also explores the use of local backups, container structure analysis for videos, and logical extraction methods to maintain data fidelity, while integrating AI and performance-optimized frameworks to enhance forensic efficiency. These advancements collectively aim to provide robust, reliable, and legally admissible evidence for mobile forensic investigations.