Our ever expanding IT technology is creating major changes in the way enterprises handle their data.
While the expansion and diversification of computation tools has brought tremendous growth to the IT industry--as well as the business that utilize them--the new trends have come with a price.
As organizations expanded their workloads and modernized their applications, the weaknesses in established methods of data loss protection began to show up.
The Failure of Cybersecurity Tools, including Traditional DLP
The failure of today’s cybersecurity tools including the major traditional DLP solutions are due to one simple fact: these programs were simply not designed to handle the load of modern data management.
Two phenomena in particular are mostly responsible for making old DLP approaches obsolete.
The number of organizations harnessing the power of big data has been growing at an exponential rate over the recent period.
The need for new methods in data management for colossal volumes of information has now become clear.
But instead of augmenting their DLP tactics, many organizations have resorted to practices that only further decrease their security. As a recent report by Gartner lies out, decisions such as splitting the tasks of silo and security, as well as other weak practices in data storage, have left organizations without a real handle on their massive databases.
The Move to the Cloud
The field of cloud storage is no longer a simple fad of the tech world--it has become an established, mainstream solution. But this technological leap also came with drawbacks.
The same elements that made the cloud attractive to the modern enterprise also make it more of a liability from a data protection perspective. Because information stored on the cloud can be extruded from any location and by a wide range of constituents, the risk to corporate data on the cloud is exponentialized.
Data Protection for Today’s Data Environment
Why the Failure?
The demands of today’s data environment require too many resources to run, manage, and resource. This in turn translates into traditional cybersecurity including UAM, UBA and DLP programs being ineffective at stopping insider threat data breaches because they focus on statistical classification and analysis rather than protection of the data.
Cybersecurity Tools Which Address Insider Threats - Accurately
GTB’s Data Protection That WorksTM
GTB has taken today’s challenges of data management head on by creating systems that provide real-world solutions. GTB’s artificial intelligence based approach allows systems to learn and map the network, freeing IT from the tedious maintenance attached to other platforms. Additionally, the precision of GTB’s Smart DLP allows processes to be streamlined, instead of bogging down administrators with errors and false positives.
GTB provides both security and assurance that meet the needs of modern business data management.