"LLMs Lower the Barrier for Entry Into Cybercrime"

Jack Chapman, VP of Threat Intelligence at Egress, has emphasized that chatbots or Large Language Models (LLMs) have lowered the barrier for entry to cybercrime, making it possible for less-skilled threat actors to construct well-written phishing campaigns and generate malware. However, according to Chapman, one of LLMs' most concerning but least discussed applications is reconnaissance for highly targeted attacks. Within seconds, a chatbot can scrape the Internet for open-source information about a target. This information can then be used as a pretext for social engineering campaigns. This article continues to discuss LLMs lowering the barrier for entry to cybercrime and why traditional perimeter detection is falling short.

Help Net Security reports "LLMs Lower the Barrier for Entry Into Cybercrime"

Submitted by grigby1