Cloud based collaboration applications and the need for accurate data detection to prevent data

Dangers of Cloud Based Collaboration Applications


In today’s data driven world, inter-connectivity has become key for efficient operations.


Businesses need to provide timely and easy information access to both clients and employees–not to mention the slew of off-site collaborators they may be working with on any given project.


To cater to these needs, an entire industry has emerged to provide services and applications to assist in data sharing.


Popular apps such as Slack, ClickUp, Box, and Google’s G Suite, have become vital for firms in keeping data sharing and collaboration streamlined.


The Dark Side of Data Sharing

Like much of our IT innovation, the data-sharing revolution came at a price.


The ease that cloud based collaboration and instant messaging provide also translates into a serious liability: to the extent that data can be transmitted unfettered, it can also be lost.


Every group chat, every collaboration channel, is another avenue for data loss. If companies didn’t have enough to worry about in tackling DLP, data collaboration has brought the challenge to a whole new level.


The Problems

Pretty much the entire industry of DLP today provides solutions with a ‘brute force’ approach.


Many DLP programs rely on pre-set algorithms and regular expression patterns in order to function. These algorithms determine what “sensitive data” is and determine what controls and safety measures are activated in any given scenario. “This leads to serious issues in identification accuracy, the key to effective DLP coverage.”


These flaws often end up producing more problems than they.


False positives are produced by an overly expansive and generalized identification approach.   Additionally, false negatives allow important files and data streams to slip through the cracks.


All of these problems have one underlying source: Pre-set programs are incapable of detecting subtleties in content beyond their own algorithmic structure. Factors such as context, timing, and the users involved in a particular data transfer, are often not factored into the programs assessment.


The Solution

GTB’s DLP That Works, uses a patented intelligent approach system to manage sensitive data.

GTB programs regularly analyze data with intelligent algorithms. This approach virtually eliminates false positives by honing in on relevant data and only real exfiltration threats.


Using the accuracy of GTB’s DLP platform, businesses can be confident in deploying data sharing and other cloud-based solutions, knowing the additional exposure of their information will not come at the risk of data loss.


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