Cybersecurity Forensics with AI
Pragati Jain, Priyanka Verma, Tania Debnath, Leoson Heisnam, Shefali Chaudhary, Sonali Balouria · Auerbach Publications eBooks · 2025
Cybersecurity forensics plays a pivotal role in identifying and combating cyber threats, yet conventional methods often encounter challenges when dealing with the intricacies of modern attacks. The integration of artificial intelligence (AI) presents a promising solution, augmenting forensic capabilities. This research delves into recent AI advancements in cybersecurity forensics, facilitating efficient analysis of digital evidence, discerning complex attack patterns, and attributing incidents to specific threat actors. By tackling issues such as data privacy and model interpretability, the chapter underscores AI’s potential to expedite incident response and enhance investigation accuracy. Real-world cases, such as the Thailand trafficking and Facebook child nudity incidents, illustrate AI’s efficacy in malware detection, threat prediction, and reconstruction of digital crime scenes. Collaborative efforts among cybersecurity experts, data scientists, and legal professionals are imperative for harnessing AI in forensic analysis and fortifying digital resilience. In summary, this chapter advocates for ongoing exploration and integration of AI in cybersecurity forensics, underscoring its role in bolstering investigative capabilities and safeguarding digital evidence against evolving threats. The chapter provides valuable insights for professionals in cybersecurity, forensic sciences, and humanitarian endeavors, offering a comprehensive grasp of cybercrimes and the evolving interplay with AI. Through this scrutiny, it contributes to enhanced preparedness and response strategies in confronting future digital crimes.