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FREE White Papers

Preventing Policy Infractions

The 7 Deadly Sins of Email & How you can Protect against them

Reducing Costly Compliance Liabilities by Automating the Delivery, Acceptance & Auditing of Corporate Policies

The 5 Critical Stages: Best Practices for Delivering Corporate Policies

Why Most Acceptable Use Policies Fail and how to rectify this

Email Discovery, Classification, Archiving & Mailbox Size

Email Archiving LifeCycle Checklist: the questions to ask before committing to an Email Archiving solution

Why today's Email Archiving Solutions alone are unable to meet your E-Discovery needs

The Challenge of Managing PST Files - do I Eliminate Them or Live With Them?

Applying User Classification to Manage Email Security & Retention in the Enterprise

Enforcing Corporate Compliance Policies in Your Lotus Notes & Microsoft Exchange Email

Reducing the time to restore Microsoft Exchange Email from edb backups

Email Discovery from existing Lotus Notes & Microsoft Exchange mailboxes

Email Metrics, Alerts

Best Practices for Proactively Monitoring the BlackBerry network.
Using Robotic Testing to measure Messaging Services Quality from an End-User Perspective
You can't manage your email until you measure it.

Encrypted Email, Digital Rights Management

Secure Email in the Real World

Secure EMail for the Heathcare Industry

Secure EMail for the Financial Services Industry 

Applying User Classification to Manage Email & Document Security

WHITE PAPER REQUEST: Combatting Image SPam

Spam message volumes have doubled over the past 12 months and are expected to triple in the near future, so it is no wonder that end users are seeing twice as much uncaught spam in their inboxes. While the email filters are just as efficient as they were a year ago, they are dealing with twice the volume. This situation is worsened by the recent emergence of image spam. Through the BorderWare Security Network (BSN), it has been observed that image spam currently accounts for at least 35% of overall spam volumes and this trend is on the rise.

While image spam may look the same to an end user, spammers use programs to automatically create and vary each image. This causes messages to appear unique when received and processed by spam filters. The randomness of the images effectively evades fingerprinting techniques, which is designed to keep track of common message characteristics. More recent developments have seen a rise in the use of rare or uncommon fonts rendered in images with the intent of avoiding detection by OCR techniques. OCR is designed to recognize the common font shapes and to decode the images into text.

The downloadable white paper discusses why image spam is so difficult to control and explains how the Borderware MXtreme suite of perimeter appliances apply leading edge technologies to make significant reductions in image spam threats.

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