Artificial Intelligence in Digital Forensics and Cyber Security
Abstract: The rapid growth of digital technologies has led to a significant increase in cyber-crimes, making traditional digital forensic and cyber security methods insufficient to handle the volume, complexity, and speed of modern attacks. Artificial Intelligence (AI) has emerged as a powerful tool to enhance digital forensics and cyber security by enabling automated data analysis, intelligent threat detection, and efficient incident response. This paper explores the role of AI techniques in strengthening cyber security systems and improving digital forensic investigations. The study also discusses the applications of AI in intrusin detection systems, network security monitoring, malware analysis, and forensic evidence examination. Furthermore, the paper highlights key challenges associated with AI adoption, including data privacy concerns, model transparency, bias, and legal admissibility of AI-generated evidence. By examining current trends, applications, and limitations, this research emphasizes the potential of AI to transform digital forensics and cyber security while underlining the need for ethical frameworks and regulatory guidelines to ensure its responsible use.
Keywords: AI-Driven Cyber Security, Automated Forensic Analysis, Malware Detection, Network Security Monitoring, Anomaly Detection, Incident Response, Ethical and Legal Issues in AI
How to Cite?: Vaishnavi Aher, Sujata Katkade, Tejaswi Jagtap, Sapna Bhusare, "Artificial Intelligence in Digital Forensics and Cyber Security", Volume 15 Issue 4, April 2026, International Journal of Science and Research (IJSR), Pages: 87-89, https://www.ijsr.net/getabstract.php?paperid=SC26211115305, DOI: https://dx.doi.org/10.21275/SC26211115305