From a philosophical standpoint, the main difference between GTB and the others is policy making. Good DLP Policy making has many ingredients. First, classification of data. Then, the ability to detect that data followed by policy making. Finally, enforcement of those policies.  The problem for most DLP vendors is the implementation of the DLP methodology or what we call "DLP Vision".

What other solutions focus on

Detection: Other "leading " DLP vendors focus on detection of content using imprecise detection methods.  Imprecise detection (regular expressions, keyword matching, tagging, Machine Learning, etc) are a major cause for DLP failures.  These detection techniques cause an unmanageable amount of false positives, thus require "tuning", the achilles heel for DLP solutions.  Only precise detection (content registration or fingerprinting) will yield virtually zero false positive rates.  Other DLP solutions can't perform fingerprinting without "choking".

Policy: Other solutions also focus on policy making for what’s allowed, what’s not allowed, what are the sources and variables of data, etc.  There are just so many policy options and inputs these DLP systems with the described vision can handle,  especially with large organizations encompassing thousands of end users.   To visualize this, take the following example, most DLP solutions will need to develop a policy for EACH specific user, in order to send certain amounts or types of data to a specific destination.  

Enforcement:  This requires thousands of polices! One can get lost within the jungle of polices. Because this approach requires customers to create polices for EACH user, there are repercussions for a large enterprise such as false-positives, expensive "tuning", and network degradation. All are costly and unproductive creating more problems than solving.   

GTB Technologies is geared to revolutionize this poor vision for the DLP space.

The DLP vision of GTB is focused on deploying policies, utilizing precise detection methods, with our proprietary content-aware-reverse-firewall with AccuMatch technology. Just like a firewall, GTB policy making is focused on the exceptions to the rules rather than what is allowed or disallowed for each specific user. GTB created this technology along with its detection engines to insure that each DLP event is a valid and noteworthy event for efficient workflow.   

GTB customers do not need to insert thousand of policies, for specific user or user groups. Instead, they can gain network visibility throughout their entire environment via a firewall process creating objects and administering rules on the objects. This deductive methodology allows for simple policy making and enforcement all in a firewall format.  

Data Protection outside the network

In addition, companies have the ability to place policies on specific files that is outside their environment. This the main reason why GTB prides itself in providing true data protection to their customers.