What advanced measure does Mimecast use to detect email threats?

Mimecast utilizes user behavior analysis as an advanced measure to detect email threats by monitoring how users typically interact with their email accounts and identifying any deviations from normal behavior. This technique allows Mimecast to establish a baseline of expected activities, making it easier to identify anomalies that may indicate phishing attempts, account compromises, or other malicious activities. By analyzing patterns such as email sending frequency, engagement levels, and typical recipients, Mimecast can quickly flag suspicious behavior for further investigation.

While the other options may contribute to broader security practices, they do not represent advanced measures for detecting threats in the same way. For instance, limiting email size helps manage storage and may reduce exposure to certain types of malicious attachments, but it does not analyze the content or behavior related to actual email threats. Daily statistical reporting provides useful insights and metrics but lacks the predictive and adaptive elements that user behavior analysis offers. Constant password updates can improve security hygiene but do not directly analyze or detect email threats; they're more of a preventative measure rather than a detection strategy.