Gain Control of Your Unstructured Data On-Premises and in the Cloud

Gain Control of Your Unstructured Data On-Premises and in the Cloud

 

When it comes to data security, enterprises face a major challenge when it comes to preventing data loss. 

The nature of administering a large firm today means sharing information across a wide spectrum of users, spread out across multiple locations and work stations. Additionally, the transmission of highly sensitive information outside the company network to clients, partners, and other third parties is a common occurrence and often occurs in high volumes.

In such a scenario, the possibility for data leaks, due to either human error or malicious exfiltration, remains a constant concern.

Enterprise Data Loss Protection or EDLP,  solutions attempt to address the data loss problem within the high-risk environment of the enterprise.

 

What the Industry Needs

 

Gartner’s latest report on Data Loss Protection for the enterprise is out.

The market advisory firm published its findings on the DLP industry late last month.  Their report, Market Guide for Enterprise Data Loss Prevention [1] is very telling indeed as to what businesses need from an effective DLP solution.

One of the most important points emphasized by Gartner is the intricacy of applying a system across all aspects of an enterprise.  The most obvious factor that makes the challenge so complex is the variety of storage mediums used for the company’s data which can include both on-premises databases and cloud-based servers.  According to Gartner analysts, the huge endeavor of keeping a handle on all of these diverse data sets creates significant doubts on the efficacy of current EDLP systems and the return on investment (ROI) firms receive from deploying them.

Beyond the mere compatibility of the system, Gartner reports most DLP vendors also fall short when it comes to actual methodology.  Traditional content-based inspection rules are not enough to secure all enterprise data.   This is for the simple reason that no set of content rules can account for all incidents of data loss without adopting blanket restrictions, which will create a constant flow of false positives.   According to the report, for DLP to be truly efficient, platforms must include various insider threat detection methods that can identify threatening and malicious behavior.

 

The DLP of Tomorrow, Today with GTB

 

The recent Gartner report is just the latest confirmation: the GTB approach is what’s needed for DLP to work.

GTB’s DLP that Works, is a comprehensive solution, designed to operate across the entire enterprise. The fully compatible platform can integrate with all aspects of a firm’s data network, from on-premises servers to the cloud.

 

The AI-powered platform makes protection measures super accurate, identifying threatening activity while at the same time virtually eliminating false positives.

GTB’s unique approach to data protection hones in on what modern enterprises actually need from a DLP system.

[1] Market Guide for Enterprise Data Loss Prevention

Published: 25 February 2020 ID: G00447905;  Analyst(s): Marc-Antoine Meunier | Ravisha Chugh

2020 Leader DLP Solutions Provider

 

 

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Visibility: Accurately, discover sensitive data; detect and address broken business process, or insider threats including sensitive data breach attempts.

Protection: Automate data protection, breach prevention and incident response both on and off the network; for example, find and quarantine sensitive data within files exposed on user workstations, FileShares and cloud storage.

Notification: Alert and educate users on violations to raise awareness and educate the end user about cybersecurity and corporate policies.

Education: Start target cyber-security training; e.g., identify end-users violating policies and train them.

  • Employees and organizations have knowledge and control of the information leaving the organization, where it is being sent, and where it is being preserved.
  • Ability to allow user classification to give them influence in how the data they produce is controlled, which increases protection and end-user adoption.
  • Control your data across your entire domain in one Central Management Dashboard with Universal policies.
  • Many levels of control together with the ability to warn end-users of possible non-compliant – risky activities, protecting from malicious insiders and human error.
  • Full data discovery collection detects sensitive data anywhere it is stored, and provides strong classification, watermarking, and other controls.
  • Delivers full technical controls on who can copy what data, to what devices, what can be printed, and/or watermarked.
  • Integrate with GRC workflows.
  • Reduce the risk of fines and non-compliance.
  • Protect intellectual property and corporate assets.
  • Ensure compliance within industry, regulatory, and corporate policy.
  • Ability to enforce boundaries and control what types of sensitive information can flow where.
  • Control data flow to third parties and between business units.