About Sendio

Say Goodbye to Spam

Most corporate anti-spam products rely on filters to separate legitimate messages from unwanted email messages - unfortunately, they miss large numbers of unwanted emails (including spam and messages containing viruses) while mistakenly characterizing useful messages as "false positives." Sendio builds a box that kills unwanted emails with Sender Address Verification, which empowers users by transparently accepting messages based on who sent them, rather than relying on filters to reject unwanted messages.

The Result:

Sender Address Verification (SAV) technology. The only filter-free, 100% effective enterprise anti-spam solution.

Why Sendio is the answer

Sendio is the only enterprise-level tool that uses Sender Address Verification (SAV) to solve the unwanted email problem. SAV is based on the premise that all senders must announce and authenticate themselves the first time they send a piece of e-mail. The Sendio I.C.E. Box (Intercept, Confirm or Eliminate) is an enterprise-class appliance capable of processing millions of messages a day per server. It is the most effective tool on the market because it prevents spam from reaching corporate email servers. In other words, there is no spam to filter because unwanted messages never even make it into the system! With Sendio, users never get spam messages, so they don't have to waste time digging through folders looking for false positives. As an added bonus, no viruses get in because no spam gets in and all messages are scanned for viruses!

The problem with filters

Filters are fundamentally flawed because they have no way of distinguishing between "bad" and "good" emails. Filters, by definition, are reactive and can do nothing but make "educated" guesses. Simply put, no matter how good a filter may be, there is no mechanism for it to analyze the context of a message. All of the major enterprise or corporate solutions on the market today attempt to guess, using patterns and keywords, what is spam - and what is not spam. Unfortunately, filters have created an "arms race" between spam purveyors and anti-spam tools - and spammers are always one step ahead. That's one of the reasons why filters fail to catch large numbers of emails with legitimate-sounding subject lines. Even worse, filters that are too discriminating create false positives. For example, Central DuPage Hospital near Chicago found that legitimate emails to its doctors were getting filtered out based on the inclusion of certain medical terms.

The scope of the spam problem

Spam is more than a nuisance . Unwanted emails cost businesses billions of dollars a year in lost productivity and lost revenue. Experts estimate that 228 billion spam messages will bombard consumer and enterprise e-mail boxes in 2008, up from an estimated 116 billion in 2006. This spam will account for nearly 90% of all email messages sent. The cost of unwanted email messages is expected to grow to ~$2,000 per year in lost productivity per employee for a total economic loss of $20B per year by 2008.