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Sender, content, and collaborative review are each excellent spam identifiers. But if only a single method is used, the risk of false positives increases. However, PC USA's unique cross-analysis requires that at least two of our independent techniques label a message as spam before it is marked as definite spam, ensuring no good e-mail is caught.

1 Sender Authentication and Reputation

The techniques in this category identify e-mails that falsify their origin and check the reputation of the e-mail sender. Using Sender ID Framework and PC USA Reputation™, the PC USA solution not only validates the sender's claimed identity but also evaluates that sender's reputation. Sender ID provides an important part of the anti-spam solution by identifying e-mails that have inconsistencies between the claimed origin and actual origin. PC USA leads its industry by incorporating this newly-adopted security standard into its product. Spam can come from domains or addresses that are valid for the claimed domains, which means that Sender ID analysis is not enough. With the added technique of PC USA Reputation™, PC USA's anti-spam analysis not only validates the claimed origin of the e-mail through Sender ID, but also assesses whether the sender has a good or bad reputation for sending spam e-mails by cross-checking against PC USA's proprietary database—the industry's largest—with over 20 million entries to date.

2 Content Analysis

Naïve Bayesian rules don't meet the challenge of today's pervasive spammer. Spammers use many techniques to confuse naïve Bayesian filters into letting the spam messages through. PC USA's Adversarial Bayesian™ is designed for this environment. PC USA's Adversarial Bayesian uses a variety of techniques, including Lexigraphical Distancing, which finds variations of spam words, and Jibberish Detection, which detects strings of nonsense text often found in spam. PC USA's Adversarial Bayesian offers the industry's most comprehensive content review.

3 Collaborative Network

PC USA Self Monitoring Active Response Team (SMART) Network™ is a real-time network of over one million global users whose responses enable PC USA to determine how to quickly identify and react to new spam trends. In addition, since this network gets “real” e-mail, PC USA SMART Network also understands legitimate e-mail, dramatically reducing the false positive rate. PC USA immediately applies the results of its analysis through PC USA SMART Network, passing the knowledge and value of its collaborative network to its customers in real time.
 
 
 
 
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