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What is GTB Technologies DLP?

Data Loss Prevention (DLP) can be defined as a comprehensive system that systematically applies data security protocols while classifying information in real time, whether it's being transferred or stored. Data in motion encompasses information that is transmitted across the internet, to cloud services, devices, or printers. Our solution is driven by a technology leader who ensures robust protection. The DLP security engine is capable of identifying both structured and unstructured data at a binary level, safeguarding it across on-premises locations, remote sites, and cloud environments. Notably, GTB stands out as the only DLP tool that offers protection for data even when disconnected from the network. Through our technology, you can locate, categorize, index, redact, and remediate sensitive information, including personally identifiable information (PII), protected health information (PHI), and various regulatory data such as FERC/NERC and SOX. Our innovative, patent-pending technology is designed to prevent sensitive data from being uploaded to unauthorized or private cloud services, while also enabling users to track "sync files" effortlessly. This allows organizations to maintain compliance and enhance their overall data security posture.

What is ClassifyIt?

This add-on is compatible with Microsoft Office 2010 and later versions, enabling users to incorporate classification tags at the beginning of emails and within the header or footer areas of documents. Additionally, it provides the capability to encrypt attachments for enhanced security. ClassifyIt is designed to be tailored to meet the specific needs of its users, aiding in the classification of all types of Microsoft Outlook emails, Word documents, Excel spreadsheets, and PowerPoint presentations. This tool plays a crucial role in maintaining compliance with policies and serves as an essential component for safeguarding information. Its user-friendly interface ensures ease of use, and it is offered at a highly competitive price point. Examples of classification labels include Unclassified, Restricted, Confidential, and SECRET, illustrating the versatility of the classification system it supports. By streamlining the classification process, ClassifyIt helps organizations effectively manage sensitive information.

Media

Media

Integrations Supported

Active Directory
Boldon James Email Classifier
Gmail
IBM QRadar SIEM
Kriptos
LogRhythm SIEM
Microsoft 365 E5 Compliance
Microsoft Entra ID
Microsoft Excel
Microsoft Office 2021
Microsoft Word
PowerPoint
Slack
Splunk APM
Titus Classification Suite
Zoom

Integrations Supported

Active Directory
Boldon James Email Classifier
Gmail
IBM QRadar SIEM
Kriptos
LogRhythm SIEM
Microsoft 365 E5 Compliance
Microsoft Entra ID
Microsoft Excel
Microsoft Office 2021
Microsoft Word
PowerPoint
Slack
Splunk APM
Titus Classification Suite
Zoom

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

€10 per license
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

GTB Technologies

Date Founded

2004

Company Location

United States

Company Website

gttb.com/data-loss-prevention/

Company Facts

Organization Name

Ralf Ulrich Garbe

Date Founded

2004

Company Location

Germany

Company Website

classifyit.eu

Categories and Features

Data Loss Prevention

Compliance Reporting
Incident Management
Policy Management
Sensitive Data Identification
Web Threat Management
Whitelisting / Blacklisting

Categories and Features

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