Hey, Jason. You're right in that folks that care about encryption sometimes 
provide that capability in file storage. We see that with some of the customers 
we're working with. The problem with that approach is that from a threat 
assessment perspective, you've still got a fair amount of exposure to who can 
access the data if you put the encryption in the file system, specifically 
sysadmins that have access to the server that's hosting the xml database or any 
piece of code that can access the database. To eliminate those kinds of 
threats, folks in the relational database world have introduced the notion of 
field level encryption into their products. It can be a PITA, because it can 
introduce some tight coupling between your data and your application (the app 
needs to provide some sort of secret or shared secret in order to decrypt the 
data) but it does reduce the possible attack points to your data.

I'd be curious if other folks have seen interest in providing encryption 
directly in ML. 

thx,

g


George Florentine
 
VP, Engineering
 
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-----Original Message-----
From: [email protected] 
[mailto:[email protected]] On Behalf Of Jason Hunter
Sent: Monday, April 23, 2012 12:08 PM
To: MarkLogic Developer Discussion
Subject: Re: [MarkLogic Dev General] ML Data Encryption

No, people who care about that use encrypted filesystems.

-jh-

On Apr 23, 2012, at 10:30 AM, Danny Sinang wrote:

> Hello,
> 
> I know ML compresses data when storing it on disk. 
> 
> But does it also encrypt it ?
> 
> Regards,
> Danny
> 
> 
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