ChatGPT starts the war against cybercriminals
Researchers from various universities have evaluated the impact of language models, including ChatGPT and GPT-4, on digital forensics. The rapid development of large language models opens new horizons for AI applications in cybersecurity.
AI capabilities can be utilized for:
▪ Data classification
▪ Network forensics
▪ Malware analysis
▪ Facial Recognition Systems
However, despite the vast potential of these technologies, they can be error-prone, which raises legal and ethical issues, as well as questions about the dependence of researchers on the technology. Technical limitations must also be considered.
Researchers have emphasized the importance of fast scripting with limited resources, which is critical for solving file recovery, working with RAID arrays, cracking passwords, and recovering encryption keys.
Despite all the advantages of using ChatGPT in the field of digital forensics, AI has limitations in functionality. The results of the study are task dependent and may not be fully reproducible due to the non-deterministic nature of ChatGPT's operation.
Despite these limitations, AI continues to make rapid advances in cybersecurity, as evidenced by the emergence of the WormGPT tool, ChatGPT's pentest analog.
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