

Find out in this report how the two Data Loss Prevention (DLP) solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
| Product | Market Share (%) |
|---|---|
| Forcepoint Data Loss Prevention | 6.2% |
| Google Cloud Data Loss Prevention | 1.0% |
| Other | 92.8% |


| Company Size | Count |
|---|---|
| Small Business | 33 |
| Midsize Enterprise | 6 |
| Large Enterprise | 28 |
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.
Google Cloud Data Loss Prevention offers a comprehensive approach to safeguarding sensitive data through advanced data scanning and classification.
Designed for data security experts, it focuses on detecting, classifying, and protecting sensitive data across cloud environments. With robust reporting and monitoring capabilities, it helps identify potential data breaches and compliance violations while facilitating management of critical information.
What are the valuable features of Google Cloud Data Loss Prevention?Google Cloud Data Loss Prevention is widely implemented in healthcare and finance industries, where protecting sensitive information such as patient records or financial transactions is crucial. Its adaptability allows it to serve effectively in environments where data privacy is a paramount concern.
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