GTB Technologies – Data Loss Prevention
Data Loss Prevention is defined as a system that performs real-time data classification on data at rest and data in motion while applying data security policies automatically. Data in motion is data heading to the cloud, the internet, devices or a printer. Whether Mac, Linux or Windows, the DLP security engine protects on-premises, off-premises and the cloud, accurately detecting structured and unstructured data at binary level.
GTB Technologies provides genuine data protection with the ability to create, manage and enforce content-based or context-based DLP security policies covering when, where, how and by whom data may or may not be moved onto the network or onto devices.
What is GTB Inspector?
GTB Inspector is a comprehensive reverse firewall system that allows a company or organization to keep all outbound and inbound data within its network secure. Inspector intercepts and inspects all outbound or inbound data on an organization's systems across any digital medium. When sensitive data is detected, various enforcement actions such as blocking, alerting or classification can be carried out.
With GTB Inspector, an organization has the ability to notify, educate and remediate its employees regarding a potential security breach or policy violation.
Is there malware? What happens now?
Malicious applications (viruses and worms, for example) can be used to transfer data over a wide variety of protocols. Ports that lead to confidential data being transmitted over the network, whether maliciously or unintentionally, are detected and blocked. It integrates actions instantly and easily to provide protection against threats (external and multi-vector threats such as malware, trusted users or employee error). It automatically adjusts data leak prevention controls to keep sensitive data from being compromised, detects infected machines and activates containment controls.
The benefits it provides:
Visibility: discover sensitive data accurately; detect and address broken business processes or insider threats, including attempts to breach sensitive data.
Protection: automate data protection, breach prevention and incident response on and off the network — for example, find and quarantine sensitive data in exposed files on user workstations, file shares and cloud storage.
Notification: alert and educate users about violations to raise awareness and teach end users about cyber security and corporate policy.
Training: launch targeted cyber security training — for example, identify end users who violate policies and train them.
End-user benefits:
Employees and organizations have knowledge of and control over what information leaves the organization, where it is sent and where it is protected.
Allowing user classification, so that people have a say in how the data they produce is controlled, improves both protection and end-user adoption.
It offers full technical controls over who can copy which data, which devices they can copy it to, and what can be printed.