What practice helps to protect sensitive information from unauthorized access?

Data classification is a critical practice that helps protect sensitive information from unauthorized access by organizing and categorizing data based on its level of sensitivity and the impact that unauthorized access could have on the organization or individuals involved. By classifying data, organizations can apply the appropriate security measures tailored to each category, ensuring that more sensitive data is subject to stricter access controls and protections.

For instance, information classified as confidential may require encryption and restricted access to only certain personnel, whereas less sensitive information might have more lenient access policies. This structured approach enables organizations to efficiently manage their data protection efforts and comply with regulatory requirements, thereby mitigating risks associated with data breaches.

The other options, such as password sharing or open network policies, can actually increase the risk of unauthorized access rather than mitigate it. Public information release does not protect sensitive information but rather makes it openly available, which could lead to exposure and misuse. By implementing data classification, organizations can create a robust framework for safeguarding their most critical information assets.