

Forcepoint Data Loss Prevention and GTB Technologies Inspector compete in the data loss prevention category. Forcepoint holds a slight advantage with extensive integration and advanced AI features, while GTB offers better pricing flexibility for smaller enterprises.
Features: Forcepoint Data Loss Prevention is equipped with advanced data protection tools, cloud integration capabilities, and an extensive set of predefined templates and OCR. It integrates seamlessly with CASB and SIEM for enhanced compliance. GTB Technologies Inspector emphasizes ease and efficiency with a single-agent setup, a flexible customization option, and strong database connectors, though it offers less support for modern endpoints.
Room for Improvement: Forcepoint could improve integration, language support, and speed up policy management. Enhancements in AI features and quicker technical support are also suggested. GTB Technologies Inspector should focus on handling mobile devices and integrating IRM solutions while enhancing processing times. Simplifying deployment and management would benefit both products.
Ease of Deployment and Customer Service: Forcepoint can be set up in various environments like on-premises and cloud, providing flexibility but often requires complex initial setups with better technical support needed. Customer experiences with its support are mixed, with some reporting delays. GTB Technologies Inspector offers efficient deployment in on-premises and hybrid settings, with a notable and accessible support team.
Pricing and ROI: Forcepoint is seen as a premium offering that delivers value through comprehensive features, appealing mainly to larger enterprises, though its high cost might be prohibitive for smaller businesses. GTB Technologies Inspector is favored for its competitive and flexible pricing structure, which provides substantial value, especially for those with budget constraints. Both solutions show potential for ROI through improved data protection and compliance.
| Product | Market Share (%) |
|---|---|
| Forcepoint Data Loss Prevention | 6.2% |
| GTB Technologies Inspector | 1.7% |
| Other | 92.1% |


| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 6 |
| Large Enterprise | 28 |
| Company Size | Count |
|---|---|
| Small Business | 7 |
| Large Enterprise | 1 |
Forcepoint Data Loss Prevention (DLP) protects sensitive data everywhere it resides and moves, across endpoints, cloud apps, web, email, and on-premises environments. It delivers unified policies and centralized visibility to simplify compliance and prevent data breaches in real time.
With over 1,800 pre-defined templates, policies, and classifiers covering the regulatory requirements of 90+ countries and 160+ regions, Forcepoint DLP accelerates deployment and ensures precise protection of regulated and sensitive data.
Flexible deployment options let organizations protect data on-premises, in the cloud, or through a hybrid approach using the same unified console. Powered by AI-driven classification and Risk-Adaptive Protection (RAP), Forcepoint DLP reduces complexity, automates compliance, and safeguards data wherever work happens.
Forcepoint Data Loss Prevention is equipped with advanced fingerprinting technology, optical character recognition, and a large library of predefined rules. Organizations gain comprehensive data visibility and effective policy enforcement, supported by dynamic user behavior analysis and compliance capabilities. Its intuitive interface and flexible deployment options position it as a top choice for data security, although it could improve in communication reliability and language support. Complex reporting, machine learning integration, and cross-platform compatibility require enhancements.
What are the key features of Forcepoint Data Loss Prevention?
What benefits and ROI can users expect from reviews?
In industries like finance, legal, and healthcare, Forcepoint Data Loss Prevention is implemented to protect sensitive data such as credit card information and personal identification. It monitors and controls data on networks, endpoints, and cloud services, detecting unauthorized transfers through features like OCR and fingerprinting.
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