In light of emerging regulations on data privacy—and the ever-increasing risk of data breaches—the need to secure corporate data and identity is paramount paid IBMSecurity
policies. These polices imply a level of trust to employees once they have joined the company. What they don’t do is proactively reassess the employee’s access to sensitive data over time. When they do, it’s done in a manual and error prone way. For instance, as employees transition into new roles and responsibilities they often amass access to various critical and sensitive data repositories and applications.
As each of these examples illustrate, the shared context gleaned from data security and IAM solutions provide organizations a wider, clearer lens which allows them to drive out assumptive risk, improve user experience, and establish finer grain security policies. The net result is that they can position their security controls to effectively secure the new perimeter.
Once organizations know where the sensitive data is being stored, accessed, and shared by employees, they can perform vulnerability assessments on the repositories to understand the risk associated with those repositories and the data within them – affording the context needed to determine the appropriate level of controls.
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