The rapid development of emerging technologies, including artificial intelligence (AI), blockchain, and 5G, is transforming the landscape of cybersecurity forensics, particularly in edge computing environments. Edge computing, which processes data closer to its source, offers unique advantages for real-time threat detection and mitigation. However, its growing adoption necessitates advanced methods to enhance its forensic capabilities. This paper explores how AI, blockchain, and 5G can collectively advance edge computing for cybersecurity forensics. AI, with its predictive analytics and automated threat detection capabilities, significantly improves the speed and accuracy of identifying cyber threats at the edge. This enables more immediate responses to potential attacks, reducing the time to contain and neutralize security breaches. Blockchain technology provides a secure, immutable ledger that ensures the integrity and traceability of forensic data, addressing key challenges such as data tampering and the chain of custody. By leveraging blockchain, forensic investigators can maintain transparency and accountability throughout the forensic process. Additionally, 5G technology’s low-latency, high-speed data transmission enhances the efficiency of edge computing, allowing for faster collection and analysis of forensic evidence in remote or distributed networks. The combination of these technologies strengthens edge computing’s role in cyber forensics by enabling real-time, scalable, and secure data processing. This paper also discusses the challenges associated with integrating these technologies, such as privacy concerns, interoperability, and the need for robust infrastructure. The results highlight the potential of emerging technologies to revolutionize cybersecurity forensics, paving the way for more efficient and effective investigations.