Amazon Deep Learning AMIs vs. Forcepoint Data Loss Prevention vs. IBM OpenPages

Amazon AMIs has been very useful for the quick setup and implementation of deep learning for data analysis which is something I have used the service for in my own research. We commonly use the service to enable students to run intensive deep learning algorithms for their assessments. This service works well in this scenario as it allows students to quickly set up a suitable environment and get started with little hassle. If you are looking to run simple, surface level deep learning algorithms (kind of contradictory statement I know) then AMI is more complicated than most will need. When it comes to teaching the basics of Machine Learning, this kind of system is unnecessary and there are other alternatives which can be used. That being said this service is a must if you are looking to run complex deep learning via the cloud.

Incentivized

-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

• Setting up environment
• Support for different types of machines
• Perfect for Machine Learning / Deep Learning use cases
• Nvidia / Cuda / Conda support easily

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

• Some aspects of the User Interface are quite confusing and activating packages can be a bit convoluted
• It can be a bit confusing to switch between frameworks for novice users

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

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

Both of these services provide similar functionality and from my experience both are top class services which cover most of your needs. I think ultimately it comes down to what you need each service for. For example Amazon DL AMIs allows for clustering by default meaning I am able to run several clustering algorithms without a problem whereas IBM Watson Studio doesn't provide this functionality. They both provide a wide range of default packages such as Amazon providing caffe-2 and IBM providing sci-kitlearn. My main point is that both are very good services which have very similar functionality, you just need to think about the costs, suitability of features and integration with other services you are using.

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

• Saves a lot of Infra Costs
• Saves a lot of time in handling environment issues
• Easy to start a new instance

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