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MailFoundry's email protection engine, MessageIQ, is the newest, most capable engine available on the market today. Bar none. That's quite a claim, we know. But unlike the other products, we can back it up.


We built it. We own the code. We own the intellectual property. We don't use any "spam assasin" technology in MessageIQ. MessageIQ gives MailFoundry the edge over all of our competitors in terms of kill rate performance, false positive performance, message per second processing performance and adaptability to new threats.

How are we able to do all of this when the rest of the anti-spam industry can't?

They built their engine to kill spam. We didn't. We built MessageIQ from the ground up to protect the message.

Big difference.

For us, killing spam, viruses, phishing emails and image spam is easy. The difficult task is to not identify legitimate email as a threat. The entire anti-spam industry is built around engines that kill spam, but also block a startling amount of legitimate email at the same time. We designed MessageIQ from the ground up with a zero false positive goal from the onset. Our approach was different, and as a result, our performance is different.

Something to ponder - competitor engines are legacy as far as we're concerned. Email threats are an evolving target. We built our latest engine as a whole new code base from the ground up. Everyone else keeps duct taping theirs. Spammers are smart. There are technology changes day to day. A new engine was needed to counter the changing threat. So we built one.


MessageIQ uses targeted spam profiles that were created to defeat actual spam outbreaks as they happen. We don't use any hueristics or learning systems in our approach. Those systems give fairly decent kill rates, but have horrid false positive rates. They also need constant maintenance and "training" by the system administrators and end users.

The MessageIQ NOC examines email threats as they happen in realtime from around the globe. Over 500,000 messages per hour are classified automatically and new profiles or updated profiles are sent out every five minutes to MailFoundry appliances world-wide. Our profiles are built around current attacks based on their key fingerprints. This involves more than just analysis of the email content. This involves examination of the sending email server, network data, header data, message content and other attributes.

These spam profiles give MessageIQ the ability to quickly and accurately identify emails in realtime.

MessageIQ is a hands-off operation solution. We update the spam profiles every five minutes as email threat outbreaks happen so MailFoundry appliances world-wide have the most up to date profiles without any interaction with the network admins or end users. Since we don't have false positives, we also don't have individual user logins for whitelist management, etc. Many of the features common on other solutions exist as a result of their high false positive rates. You won't find any of that on the MailFoundry platform.


Image spam has been a problem for other anti-spam engines because of its nature as an attachment payload, and techniques like OCR (optical character recognition) aren't successful at blocking this type of attack for two main reasons. 1) It's easy to modify the message per incident to bypass the OCR engine, and 2) OCR is a high CPU intensive application and can cripple the throughput of systems using it. MessageIQ is effective against image spam and doesn't slow down the processing of emails because MessageIQ is able to handle these emails in the same manner that it deals with all payload attacks.

The reality is that performance speaks for itself. In an industry where the signal to noise ratio for performance claims and reality is skewed, we ask that you take MailFoundry for a test drive and experience it for yourself. Every day new customers are thrilled by how MailFoundry has transformed their email experience, and we want you to experience that first hand.
"This product has been so effective and the change so dramatic that now users let us know when even a single piece of spam or what they perceive as spam shows up in their inbox."

- John Arechavala
Network & Systems Manager, Carroll College
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