Forcepoint Data Loss Prevention vs. Secuvy AI

-Where companies need to secure their attachment, which goes outside, means from their company to outside -Where companies need to ensure their client's personal information -Where companies need DLP. They need to look for Forcepoint only, as they have the upper hand over the rest of their competitors.

Incentivized

Great tool for data support and with the governance of personal data as it facilitates the discovery of personal data and its classification and mainly and the use of multiple databases by your AI to create a connection between the process of trading information with many ease and quality assurance of these data.

Incentivized

• It has predominantly protected us from unauthorized parties and has provided us with better visibility and control over our data.
• This software has also successfully prevented us from both malicious and accidental tasks, which are quite flexible actions when it comes to the violation of data loss prevention policies.
• This product has been successful in improving compliance and even mitigating compliance violations, which further facilitated IT security.
• I think there is room for improvement, as the user interface is slightly rough and difficult to adopt in the beginning. The software also hangs up at a few instances, which leads to some wasting of time and annoyance, but other than that, this software is good. The technical staff should work on the complexities for a better user experience.

Incentivized

• Connect the user to various data sources such as cloud services.
• A data tool must use geolocation capabilities to facilitate location-based analysis.
• Collaboration present in data discovery tools.

Incentivized

• Forcepoint technical support--specially for users who go with essential support--is challenging to get support on time. You need the ticket to be raised long beforehand to get support from TAC. However, in the case of enterprise support, its is not like this technical person will come on a priority basis.
• However it comes with higher prices, especially for SMB, it is allowed to pay that amount for support only.

Incentivized

• AI needs to be improved to avoid manual reclassification.
• Non-intuitive interface.
• Lots of security details that make connecting to a more complex data source.

Incentivized

We have been fairly happy with the product and how it has worked. We have looked at other vendors for url filter and such and have not found one that meets our needs or does what we have been doing with Websense. The product has been fairly stable and we have only had a few issues in the past. We have all seen that it was one of the highest leaders from the Gartner Group Magic Quadrant for Web Gateways.

Incentivized

For us, Forcepoint Data Loss Prevention was difficult to administer, did not work well when it did work, was incredibly expensive for the feature set you get, and was difficult to uninstall when we moved on from the software. Once it was fully set up, it worked occasionally for us.

Incentivized

Support from Forcepoint has been lacking. When calling in with a high priority issue we rarely are able to work with a technician immediately. The queue waits are very long and when you get through there are no support engineers available and we need to wait for a call back for hours it seems.

Incentivized

User friendly solution that makes it easy to deploy and manage. Forcepoint Data Loss Prevention very effective to protecting our valuable data on endpoints and where data lives like in the Cloud, server and on-premises disk drives and its valuable to just set policies once and start utilizing Forcepoint Data Loss Prevention solution.

Incentivized

The fact of artificial intelligence was preponderant for the choice because we need to analyze the question of quality quickly and objectively.

Incentivized

• The exchange of financial documents with customers creates extreme risk as data loss could result in financial and reputation damage to the customer. The cost of deploying Forcepoint is fractions of pennies compared to the potential financial impact of data loss.
• There is some administrative overhead associated as false positives are inevitable, requiring a manual review and a potential loss of productivity.

Incentivized

• Fast compliance.
• Power data discovery.
• Collaboration team.

Incentivized