SurfControl email Filter

[Spicer, Kevin]

> - - "digital fingerprints of known spam content" --> probably not as
> advanced as pyzor/razor
> - - "plus a customizable Dictionary" --> big deal. You can have this
> with additonal SA rules in no time
> - - "great flexibility about ... Spam once identified: 
> isolate, delete,
> forward, deliver" --> need I say more? Did they copy MailScanner? :-)
> All of this can be done with MailScanner as well
> - - Virtual Learning Agent --> Bayes
> - - HTML Stripper --> MailScanner

That was pretty much as far as I got.  The thing that they do thats got our management interested is the promised ability to filter images based on content.

> Surprising isn't it?
> 
> 
> Why waste money there. I have to agree with Julian. I have not seen
> anything as effective as SA. It sucks up resources but it is very
> efficient.
> 

I should have made it clear in my previous post that I am already in agreement with both of you, but I was looking for any experiences anyone else may have had that could enhance my arguments.
Julians suggestions about getting a test data set together is good advice, but I'm a little bit cautious about how to get a set of test emails of a sufficiently wide variety without ending up the wrong side of any laws (like RIP).



BMRB International 
http://www.bmrb.co.uk
+44 (0)20 8566 5000
_________________________________________________________________
This message (and any attachment) is intended only for the 
recipient and may contain confidential and/or privileged 
material.  If you have received this in error, please contact the 
sender and delete this message immediately.  Disclosure, copying 
or other action taken in respect of this email or in 
reliance on it is prohibited.  BMRB International Limited 
accepts no liability in relation to any personal emails, or 
content of any email which does not directly relate to our 
business.