As you consider the attack surfaces in the list on the previous slide, what security controls have already been listed?
The questions that then will be asked for this type of critical system that maintains highly sensitive data will be something like, “Who should have these privileges and how many people need them?”
Competing against simplicity and economies of scale are the differences in data sensitivity and system criticality. In the case of business analytics, there appears to be a clear need to protect the configuration files and the results files as carefully as possible leaving as small an attack surface as can be managed. That is, these two sensitive locations that store critical organizational data should be restricted to a need-to-access basis, which essentially means as few administrators as possible within the organization who can manage the systems effectively and continuously.
If we were actually implementing the system, we might have to engage with the operational server management teams to construct a workable solution for everyone. For our purposes in this example,
we can simply specify the requirement and leave the implementation details unknown.
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