GTB Technologies DLP – Comprehensive data loss prevention solution for enterprises

GTB Technologies DLP is a comprehensive data loss prevention solution for enterprises. The solution helps detect, classify, monitor and prevent data leakage on endpoint, network and cloud. In the context of increasingly important data, GTB Technologies DLP supports enhanced control of sensitive data, reduces information leakage risks and supports security compliance.

Why do enterprises need DLP solutions?

Digital transformation is occurring strongly. Data therefore becomes the core asset of every organization. As IT systems expand to cloud, mobile devices and remote work, the risk of data loss also increases. Data such as personal information, customer records, contracts, internal documents and intellectual property all need to be tightly protected.

According to the original documentation, enterprises currently face many challenges. These include data leakage from internal users, lack of control over data transmitted via email, OTT, USB and cloud storage. Many organizations also lack the ability to identify dispersed sensitive data, find it difficult to detect unauthorized access behavior, and face pressure to comply with regulations such as PDPD, GDPR, HIPAA and PCI-DSS. The documentation also references Decree 356/2025/NĐ-CP on requirements for personal data protection during storage, processing and transmission.

Deploying GTB Technologies DLP helps enterprises:

• control sensitive data during storage, transmission, and use
• automatically detect, alert, and prevent risky behavior
• raise security awareness for end users
• support compliance requirements and protect organizational reputation

GTB Technologies DLP là gì?

GTB Technologies DLP is GTB Technologies' dedicated DLP solution. According to source documentation, GTB is a U.S. technology company founded in 2004, focusing on data security. The solution supports both Network DLP and Endpoint DLP on Windows, macOS, and Linux. The goal is to help enterprises simultaneously address data security and compliance challenges.

The document also highlights key features of the solution:

• is on the shortlist of DLP solutions recommended by Gartner
• rated 4.9/5 on Gartner Peer Insight
• featured in SC Magazine Awards for best DLP solution
• won Cybersecurity Excellence Awards in the DLP solution category

4 core capabilities of GTB Technologies DLP

GTB Technologies DLP is built on 4 core capabilities. This is the foundation that creates value for the entire solution.

Visibility

The solution helps accurately detect sensitive data. The system can also identify problematic business processes and insider threats. This includes intentional data exfiltration behavior.

Protection

GTB Technologies DLP supports automated data protection. The solution helps prevent leakage and respond to incidents inside or outside the internal network. The system can search for and quarantine sensitive data in exposed files on user machines, file shares, or cloud storage.

Notification

The solution has the ability to alert and guide users when violations occur. This helps raise cybersecurity awareness. At the same time, users better understand the enterprise's security policies.

Education

GTB Technologies DLP supports enterprises in deploying targeted security training. The system helps identify users who violate policies. From there, organizations can build more appropriate training programs.

GTB Technologies DLP solution architecture

According to the proposal, GTB Technologies DLP architecture consists of 4 main components: Central Console, Endpoint Protector, Inspector, and Discovery. These components work together to create a centralized and synchronized data control platform.

Central Console

Central Console is the system's management center. This component allows security control policy configuration and security event collection. The system also supports workflow management, risk dashboard development, executive reporting, and SIEM integration.

Endpoint Protector

Endpoint Protector is an agent installed on endpoints. This component helps enforce policies and send events to the centralized management system. The solution supports lightweight agents, suitable for DaaS, VDI, and Windows, macOS, Linux operating systems.

Inspector

Inspector is a component of Network DLP. The solution enables control of data transmitted over the network, including email, proxy, and other connection channels. This component supports multiple deployment models such as inline, virtual machines, SaaS, and cloud premises. The system also supports multi-tenant, load balancing, and high processing speed.

Discovery

Discovery helps discover, identify, classify, inventory and control organizational data. This component supports both structured and unstructured data. Scope includes PII, PHI, data on file shares, SharePoint, databases and multiple cloud platforms such as Office 365, OneDrive, Google Drive, Dropbox, Box.

Key features of GTB Technologies DLP

1. Protect data on endpoints

GTB Endpoint Protector supports fingerprint-based data detection even when devices are offline. The system does not need to communicate back to the central server for verification. The documentation also emphasizes accurate partial matching capabilities for unstructured fingerprint data directly at the endpoint.

The solution also supports:

• removable storage device control and USB encryption
• control applications at risk of data leakage
• control printing and copying of sensitive data
• local discovery on laptops, workstations, and VDI
• OCR to extract text from images and obfuscate sensitive data
• automatically label and classify data
• require users to justify when sending sensitive files
• block, alert, watermark, or encrypt data according to policy

GTB Technologies DLP also supports monitoring TCP traffic for HTTPS, HTTP, FTP, SCP, and IM. The system can scan Outlook PST/OST, block copying of sensitive data, apply watermarks on files, emails, and screens. The solution also supports monitoring screenshot behavior.

2. Comprehensive data discovery and classification

GTB Discovery allows scanning data on local PCs, file shares, databases, and multiple cloud environments. Examples include Office 365, Google Drive, Box, Dropbox, Azure, and AWS S3. The system also has the ability to find hidden shared files in the network.

Key highlights of GTB Discovery include:

• document fingerprinting with full match and partial match
• OCR to extract and analyze data from images
• AI and pre-built rules to identify data according to GDPR, HIPAA and PCI DSS standards
• automatically apply sensitivity labels based on actual content
• integrates with GTB Enterprise DRM
• fast scanning with multi-threading technology
• supports incremental scanning to save resources
• automatically move, copy, delete or quarantine violating data

3. Monitor data transmitted over the network

GTB Inspector helps protect data across multiple protocols. The system supports SMTP with TLS, HTTP/HTTPS, Web Mail, FTP, SSL with decryption, and messaging applications such as Yahoo Messenger, G-talk, Skype. The system can scan content across multiple file formats to find sensitive information.

Another notable feature is GTB AccuMatch™ technology. According to documentation, this is the core technology that increases detection rates by combining predefined blacklists and AI. Inspector also supports partial match for unstructured data, integrates OCR, supports load balancing and has outbound data inspection speeds of up to 1 GB/minute per device. When risks are detected, the system can block, quarantine or encrypt data.

Benefits of deploying GTB Technologies DLP

Deploying GTB Technologies DLP brings many clear benefits.

First, enterprises can see where sensitive data is located. Organizations also understand how data is being used. Next, enterprises can better control unauthorized copying, sharing, sending or storing of data. The solution also helps increase user accountability through alerts, guidance and justification requests when needed. Finally, GTB Technologies DLP supports enterprises in meeting compliance and data governance requirements in modern digital environments.

Deployment system requirements

GTB Technologies DLP is designed for fast and flexible deployment. Components are provided as ISO files. The system can be installed on VMware ESXi, Hyper-V, and Azure.

Reference configuration for the system includes:

GTB Central Console

• CPU: 8 cores, from 2GHz
• RAM: 32GB
• SSD: 500GB
• VMware ESXi 6.7 and above
• 1 NIC

Network DLP

• CPU: 8 cores, from 2GHz
• RAM: 16GB
• SSD: 500GB
• VMware ESXi 6.7 and above
• 1 NIC

GTB Discovery

• CPU: 8 cores, from 2GHz
• RAM: 16GB
• SSD: 500GB
• VMware ESXi 6.7 and above
• OS: Windows Server 2019 or later
• 1 NIC

Endpoint Protector Agent

• CPU: from 2GHz
• RAM: from 4GB
• HDD/SSD: 10GB
• supports Windows 10/11, Windows Server 2016+ and Linux distributions such as CentOS, Ubuntu, RedHat, Oracle, Debian, SUSE

License package

GTB Technologies DLP licenses are subscription-based. License levels depend on the components the enterprise chooses to deploy in the solution suite.

Specifically includes:

• DLP for Endpoint: priced by number of servers, Windows workstations, macOS, Linux
• DLP for Network: calculated by HA, number of network nodes and mail transfer control requirements
• On-Prem and Cloud Discovery: calculated by the number of data storage systems such as Exchange, Database, SharePoint, FileShare, OneDrive, Box, Dropbox, Azure

Conclusion

GTB Technologies DLP is a dedicated data loss prevention solution for enterprises of various scales. The solution helps organizations control sensitive data across endpoints, networks, file servers, and cloud. At the same time, the system provides management with a more comprehensive view of data being stored and used throughout the entire infrastructure.

Not only stopping at the ability to detect and prevent data leakage, GTB Technologies DLP also supports enterprises in meeting compliance requirements for data control and protection. This is a suitable platform for organizations that need to strengthen data governance and minimize risks in the digital environment.

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