Message Sniffer (SNF) is an intelligent anti-spam scanner that uses advanced pattern recognition and collaborative learning technologies to accurately identify spam, scams, viruses, and other email borne malware at your email server or gateway (before it gets to your inbox).
Please be sure to include your license id in step 3 of the checkout process.
You must first qualify for this product before purchase (see below).
During your 30 day free trial, ARM Research Labs, Inc. will monitor your telemetry. ARM Research Labs, Inc. monitoring your HAM ratio (average number of good messages per day) that your system processes. Based on the numbers seen, you will have been notified you via email if you qualify for either of the special rates.
For current customers, you will have been notified in your renewal notices if you qualify for these rates.
All orders are reviewed before processing. If you purchase a SMB license and do NOT qualify for it, your order will be rejected and you will be asked to place an order for the SNF License that you do qualify for.
Message Sniffer (SNF), from ARM Research Labs, is a high performance message scanning engine that uses advanced pattern recognition and collaborative machine learning technologies to accurately identify spam and email borne security threats (viruses, malware) at your email server or gateway (before it gets to your inbox). The engine is designed for high-speed, high-availability applications on many platforms including Windows, Linux and BSD based systems. A professionally managed rulebase is provided via subscription and is updated frequently throughout the day (24×7) by analysts and intelligent monitoring systems.
Message Sniffer is about raw power, reliability, and effectiveness. The Message Sniffer engine requires no “training period” and does not rely on DNS based spam blocking lists (DNSBLs) or external database lookups which can be slow to respond and can introduce heavy loads to critical network infrastructures.
Message Sniffer’s adaptive, comprehensive scanning engine examines an entire message and its structure searching for combinations of spam, virus, and malware characteristics including unusual headers, structural artifacts, message source behaviors, obfuscation techniques, email and url targets, binary and image signatures, unusual code fragments, and even coding styles.
While training is not required, the Message Sniffer engine does become more accurate and more efficient over time by learning new patterns from your system and sharing pattern rule and IP reputation data with other SNF nodes. Each SNF instance is a small part of a much larger “brain” that constantly learns about new spam, viruses, and malware.