It is becoming increasingly harder to commit financial fraud due to advancements in digital transactions and global financial systems. An innovative system that uses the forensic accounting dashboard for automated discovery and analysis of financial fraud will be developed in this study. This system will use AI, MLA, and data conception approaches to spot any anomaly, suspicious activity, or fraud. The dashboards will provide insights to the forensic accountants by means of predictive analytics and visual representations. The proposed solution will ensure increased accuracy, minimize manual effort and improve efficiency in decision making. This innovation will help enhance fraud preclusion approaches in financial institutions and corporate entities. The objective of this study is to examine the current trends in forensic accounting with respect to financial fraud detection and prevention during this digital era. In this regard, the study analyzes and highlights the current trends in technologies and approaches used in forensic accounting to uncover fraudulent activities, including data analytics, digital forensics, and advanced forensic accounting approaches. In addition, this study analyses rare monitoring systems and their impact on forensic accounting approaches with a special emphasis on corporate governance. This research methodology has allowed a combination of content analysis of case studies of the existing trend in deceptive practices, together with the mediation of forensic accounting. This research is expected to contribute to the encroachment of forensic accounting practices and provide insights for policy makers, practitioners and stakeholders dealing with financial frauds in the current business environment.