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Controlled Access to Confidential Data

Access to confidential information is a complex problem. The methods employed by companies to protect its sensitive information could be different and change as regulations change or new business practices emerge. To have the most control, organizations should adopt a central system that allows administrators to define policies based on what information is used for what purpose. These policies must be applied across all platforms and consumption methods (such as internal data and external data).

One way to achieve it is through mandatory access control. DAC reduces security risks by defining what data needed by each team to complete their work and granting access on the basis of this. DAC can be a challenge since it involves manually assigning permissions and keeping track of who’s been granted what.

Another method is to limit data access through a role-based access control model. This allows administrators to establish a policy that assigns access based on roles within the organization rather than individual user accounts. This model is less prone for errors and allows an more detailed model of “least privilege” that allows only the minimum level of access is granted to users, focusing on their need for knowledge.

Reviewing and updating regularly the policies and technologies used to manage access to data is the best method to ensure that private information is kept secure. This requires collaboration between legal teams and the team that is responsible for the data platform, which manages and applies these policies, as well as the teams who created them.

https://technologyform.com/boardroom-technologies-how-we-change-with-the-times

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