Forcepoint Risk Adaptive Protection for DLP offers dynamic security measures tailored to data protection needs, ensuring sensitive information is safeguarded efficiently.
Product | Market Share (%) |
---|---|
Forcepoint Risk Adaptive Protection for DLP | 0.5% |
Microsoft Purview Data Loss Prevention | 13.0% |
Forcepoint Data Loss Prevention | 9.1% |
Other | 77.4% |
Forcepoint Risk Adaptive Protection for DLP is designed to provide a balanced approach to data loss prevention by adapting security measures based on real-time risk assessment. This innovative system prioritizes protecting sensitive information while allowing for seamless workflow integration, making it a suitable choice for organizations looking to enhance their data protection strategies.
What are the key features of Forcepoint Risk Adaptive Protection for DLP?Forcepoint Risk Adaptive Protection for DLP is particularly effective in industries with stringent data protection requirements such as healthcare, finance, and government. It adapts its security posture to the specific risks faced in these sectors, addressing compliance mandates and safeguarding sensitive information efficiently.
Author info | Rating | Review Summary |
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Solution Specialist at South Asian Technologies | 4.5 | In our banking environment, Forcepoint Risk Adaptive Protection for DLP effectively meets compliance needs such as PCI and CBLS regulations. Although it's costly, its comprehensive DLP capabilities, including AI features, justify the investment. Improvements are needed in SaaS malware protection. |
CISO at V Guard Industries Ltd | 3.5 | We use Forcepoint Risk Adaptive Protection for data loss prevention, valuing its monitoring features. However, clarity for end users and region-specific configuration improvements are needed. We chose Forcepoint over Symantec for its superior data classification and DLP features. |
Director at Specsia | 3.5 | We utilize Forcepoint Risk Adaptive Protection for monitoring, classification, and auto-discovery, but we find its analytical tools lacking in customization. Its flexibility in policy enforcement and network coverage is beneficial, yet automation in classification could improve. |