Access to confidential information is a difficult problem. The methods that a company uses for protecting the sensitive data it holds are diverse, and they could change as regulations or business practices change. To have the greatest control over sensitive data, organizations should implement a centralized approach that gives administrators the ability to determine and define guidelines based on what information is used for what purpose. Then, those policies must be applied across all consumption options and platforms (such as internal and external data).
One way to achieve this is by implementing mandatory access control. By defining the data that each team must have to perform their work, and granting access based on this, DAC eliminates many security threats by ensuring employees only have access to the data needed for their jobs. DAC isn’t easy because it involves manually granting permissions and keeping track of who has been granted what.
Another option is to limit access to data through a model of access control based on role. It is easy for administrators to develop policies that limit access to users based on roles within the organization, and not individual user accounts. This model is less susceptible to error and allows for a more granular model of “least privilege” which allows only the minimum level of access is granted to users with an emphasis on their need to know.
The best method for ensuring that all sensitive data remains protected is to regularly review and update the policies and technology in place to limit access to data. This requires collaboration between the legal teams, the team responsible for the data platform, which handles and enforces these policies, and the teams who developed them.
https://technologyform.com/online-data-rooms-as-a-part-of-the-technological-innovations
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