SecurityGateway's Bayesian Classification feature helps train the spam filter to be more accurate over time by feeding it samples of spam and non-spam messages. Today, I’ll explain how to use these features to teach SecurityGateway how to get better at recognizing spam (false negatives – spam messages that were not filtered out) and non-spam (false positives – legitimate messages that were marked as spam).
Ever wonder why so much spam exists today? Though spam volumes have decreased from a high of over 90% of global email traffic, it still makes up roughly a third of that traffic, and though the numbers of junk email messages are decreasing, their malware and ransomware payloads are evolving and becoming much more dangerous. Some of the most common types of spam messages include financial scams, phishing attempts, ransomware, and botnet malware. In this article, we focus primarily on botnets.
SecurityGateway is a powerful email spam & malware filter & gateway that can be used to protect any type of mail server. It offers a layered approach to security, with protection features including data leak prevention, attachment filtering, heuristic and Bayesian analysis, zero-hour Outbreak Protection, and much more.
