Impersonation attempts by email are becoming more common and more sophisticated. The Guardz research team has identified hundreds of attempts at impersonation in recent weeks that likely would have been missed by most standard email security tools.

In order to safeguard against such fraudulent email activities Guardz has built a new scanning service that utilizes large language models (LLMs) to analyze incoming emails to detect signs of impersonation. Common discoveries include discrepancies in sender information, unusual language patterns, and other anomalies that are indicative of phishing or spoofing attempts. By identifying and flagging potentially malicious emails, this feature plays a crucial role in protecting users from identity theft, financial fraud, and unauthorized access to sensitive information, thereby enhancing overall email security and trust for MSPs and their clients.