Natural Language Processing:

Grammar Delimiters:

Policy Updates:

Smart Action Triggers™

Real-time & after-the-fact scanning:

Intelligent Content Analysis (ICA):

Support is provided for:
Exchange 2003
Exchange 2000
Exchange 5.5
SBS 2003

Cluster environments support:
Active/Passive
Active/Active/Active

All service packs for Exchange Server are supported.

Grammar Structure Delimiters

Key word searches use simple Boolean statements to determine whether an email contains sets of words that often appear together in spam, such as "toll" and "free." However, many emails may contain suspect sets of words without being spam, such as:

I traveled across the toll bridge today on my way to work. The change machine was broken so I received a free pass on the bridge.

Location also plays an important role in determining accuracy. For instance, the word "confidential", or a number of its equivalences like "classified" and "secret" if appearing multiple times scattered throughout an email or attachment does not necessarily mean that the email is confidential, however if these concepts were located in the header, footer, title page, or summary information of a document, then they would definitely imply that the message was of a confidential nature.

Concept Manager reduces the number of false positives and increases the accuracy by searching for concept patterns by grammar constructs (e.g. paragraph, sentence, line, bullet point, and centered text) and attachment layout (e.g. header, footer, summary information)


Need to add virus protection to your solution?
Check out SecurExchange Anti-Virus

More About This Product: Fact Sheet | FAQS | Download | Feature Matrix

Still not sure which solution is right for you? Find out more about our SecurExchange family of products, compare products through a feature matrix, or view some of our most Frequently Asked Questions, or email info@nemx.com

 

Internal corporate email outnumbers all other messages 8:1

Appliances and managed services monitor only 15% of total corporate email traffic


A highly intelligent and intuitive new tool in the fight against spam and pornographic content

Uses "fuzzy logic" and natural language processing to determine the concept of an email

Dramatically higher spam detection rate protects corporate liability policy, eliminates email harassment and manages email content consistently, accurately and reliably

Fewer "false positives" = savings in costs, time and productivity for administrators and users

Easy to administer and manage with self-updating policies


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