What refers to the auditing and prevention of unauthorized data exfiltration?

Data Loss Prevention (DLP) specifically involves the strategies and technologies used to prevent unauthorized access to and exfiltration of sensitive data. DLP solutions monitor data in motion, data at rest, and data in use to ensure that critical information does not leave the organization's network without proper authorization.

This includes various mechanisms such as network security controls, endpoint security measures, and cloud-based protections that work together to identify and mitigate potential data leaks. By focusing on key policies and user behaviors, DLP helps organizations protect sensitive information and comply with regulations while preventing data breaches.

Data Encryption, while crucial, primarily focuses on securing the data itself through transformation using cryptographic techniques. It does not inherently prevent unauthorized access or exfiltration. Data Masking involves altering data to protect it from being viewed in its original form, which is useful for data protection but not specifically aimed at preventing unauthorized data outflows. Data Recovery pertains to the restoration of data after loss or corruption and does not relate to prevention efforts around data exfiltration.