It's embedded across the company so any department dealing with sensitive data or access has security researchers inside it.
And some businesses and professionals dealing with sensitive data simply aren't permitted to store it on third-party servers for security reasons.
My colleagues suggested that people who are dealing with sensitive data in their models, for example medical history or x-rays, wouldn't want to put that data in the cloud.
Moreover, having every device connected to the cloud and sending raw data over the internet can have privacy, security and legal implications, especially when dealing with sensitive data that is subject to separate regulations in different countries.
While blockchains still suffer from scalability and performance issues, the value provided by their trustless architecture can supersede performance issues when dealing with sensitive data; the safekeeping of which we're forced to rely on third parties for today.
This makes sense in an app where you're dealing with sensitive data – instead of flipping over to iMessage to then communicate about those files, you could now do so safely right in the app.
I have long advised avoiding shared, open, public Wi-Fi networks when dealing with sensitive data.
The designing of the platform took into consideration security aspects when dealing with sensitive data.
While extremely useful for many types of projects and collaborations, these solutions inherently result in a loss of data processing flexibility compared to locally installed resources and may be unsuitable for projects dealing with sensitive data.
The research prototype of this database is mature enough that a few deployments have been adopted by MD Anderson Cancer Center and are subject to the same strict security audits of any other research tool dealing with sensitive data: see "Internal Services" at http://bioinformatics.mdanderson.org/.org/
To be honest, this really isn't such a big deal, but it's always discouraging to see companies with sensitive data taking the route of companies like ISPs and carriers, whose data handling practices are highly suspect.
