If we have the right processes in place to protect our data and control access to files and folders, we will naturally avoid more data breaches and remain compliant with regulations such as GDPR.  
There are issues to overcome however and they mainly arise from a very traditional way of managing data. Internally, there’s often an element of ‘my data is always more important than everyone else’s data’, or ‘It must be kept forever’ or ‘It must be treated in a different way’. But when it comes to compliance, you have to make decisions. You can’t just implement cloud based collaboration platforms such as Teams or Office 365 without implementing clear data governance policies. It’s about getting people together, making a totalitarian decision. Agree how you are going to manage the data and then go ahead with it, no buts or ifs.
The other problem is, even if you make those decisions, how do you police them? You can’t stand behind your business users to make sure they are classifying the data correctly? And you can’t expect your IT team to do this within their role either. You have to rely on an element of automation or machine learning.
The automation could be a combination of encryption and rights management services in combination with data loss prevention technologies and cloud application security. We need an audit trail of who’s got access to which data, why and when.
Torsion is one such automated machine learning platform. It works with collaboration tools such as Sharepoint and Microsoft Teams to automatically monitor and detect any inappropriate access, out of date folders and permissions, or the movement of files. If anything doesn’t look quite right it will promptly alert a business user associated with the file and shut down any potential breaches. Other than that, it can

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