GTB Data Loss Protection Gives Users the Edge

GTB Data Loss Protection Gives Users the Edge

The application of a robust data loss protection (DLP) program is vital for the secure function of organizations. The very real risk of a data leak is exponentialized by the sea of data transfers typically taking place in within a high performing firm today.

Adoption of DLP is being driven by the ever growing problem of insider threats and by more rigorous state and international privacy laws. Many of these policies have stringent data protection or access components,  and require firms to monitor and control endpoint activities

The challenge?

Many of the most common solution’s carry with them risks and operational costs for a firm.

While blanket strategies such as total encryption may add to an organization’s data security, the functional costs to a company implementing such a method are often overwhelming.

Additionally, many of these systems lack an intelligent approach to address the dynamic and subtle environment in which data and sensitive information is moving within a firm and between partners and clientele.

This is what gives GTB the edge in DLP solutions.

The edge

GTB’s programs smart AI functions constantly monitor activity to make sure that users are made aware of the security risks associated with their activities. Users are updated as to the implications of any action taken on the system risks and how they relate to applicable policies.

GTB DLP’s intelligence can also automatically activate encryption protocols for sensitive data to prevent unauthorized disclosure.

GTB solutions in DLP also give its users the tools to comply with industry standards, specifically those delineated in the latest guidelines of the National Institute for Standards and Technology (NIST)

The DLP system gives administrators total control over the flow of controlled unclassified information (CUI) in accordance with approved authorizations among employees and provides privacy and security notices consistent with industry CUI rules and standard practices. This assures that data sets stay within their designated domains and prevents the possibility of inadvertent transfer, to unauthorized locations within the organization and without.

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.