How does an SEG utilize machine learning?

An SEG leverages machine learning primarily to enhance threat detection. By analyzing patterns in email traffic and identifying unusual behaviors, machine learning algorithms can differentiate between legitimate emails and potential threats such as phishing attacks, malware, or spam. This capability allows the SEG to adapt over time, learning from new threats and improving its accuracy in identifying malicious content.

In this context, machine learning algorithms can process vast amounts of data to recognize trends and anomalies that might indicate a security risk. This proactive approach significantly increases the effectiveness of the SEG in protecting organizations from evolving email-based threats. As the SEG gathers more data, it continually fine-tunes its detection capabilities, making it a vital component in safeguarding sensitive information and ensuring secure communication.