Azure AI Content Safety is a content moderation platform that uses AI to keep organizational content safe. It is used to create safer online experiences with AI models that detect offensive or inappropriate content in text and images.
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Forcepoint DLP
Score8.5 out of 10
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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 policy management and centralized control from a single console.
Azure AI Content Safety is used for our comment analysis red flag comment process to separate most vulgar, unparlimentary words used in comments and comments which is not safe. Also, the comment contains sexuality, harassment, terrorism, and unwanted content, and things to protect and store in our PostgreSQL pgAdmin database and send as a report to clients for the product safety, and not to bring it to the frontend.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
-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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
I have given 10 rating to Azure AI Content Safety because it meets our requirements and actually what we needed during that time to prevent the comments which contains vulgar content. No other model works good properly compared to the Azure AI Content Safety model. We have 20 lakhs comments other models didn't work for even half of it but 75% covered by Azure AI Content Safety.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
Azure OpenAI Service based models like Azure OpenAI 4o models, Azure OpenAI 4o mini models and even omni models don't work properly compared to Azure OpenAI Content safety model for comment analysis of unparlimentary words protection. Also, ChatGPT OpenAI models also did the same, and the accuracy was low and errors were created. So Azure AI Content Safety stacks up against these two and so that we choose Azure AI Content Safety over others.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
One time it cost 7000 US Dollars when we ran to test, which is very costly, then we connected with the Azure team and sorted it out and got back 4000 US Dollars. This should not happen
Azure AI Content Safety helped to find red flagged comments for lakhs of comments for our analysis
Azure AI Content Safety prevents those comments in our product frontend and store that as report helps us a lot.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
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.
A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info
