How does Mimecast’s Impersonation Protection work?

Mimecast’s Impersonation Protection is designed to enhance email security by leveraging advanced technology, particularly machine learning algorithms. This approach allows the system to analyze email patterns and identify potentially malicious messages that appear to originate from trusted sources but are actually impersonations. By focusing on the characteristics and behaviors of legitimate users, Mimecast can detect discrepancies that might indicate a threat.

For example, machine learning can recognize unusual sending patterns or inconsistent email content relative to what a legitimate user typically sends. As a result, when an email is flagged as potentially fraudulent, Mimecast can take appropriate actions, such as blocking the email or alerting the user, thus preventing impersonation attacks effectively.

Utilizing machine learning for this purpose allows for continuous improvement in detection capabilities, adapting to new tactics employed by attackers over time. This intelligent approach is crucial in today's environment, where phishing attempts and impersonation schemes are increasingly sophisticated.