Description: Abuse detection in the context of data loss prevention (DLP) refers to the process of identifying and preventing the misuse of data or resources. This process involves the implementation of technologies and policies that allow monitoring, analyzing, and protecting sensitive information within an organization. Abuse detection focuses on identifying anomalous or unauthorized behaviors that may compromise the integrity, confidentiality, and availability of data. Key features of this approach include the ability to track data access, detect unusual patterns in information usage, and generate alerts for suspicious activities. The relevance of abuse detection lies in its crucial role in protecting sensitive data, such as personal, financial, or intellectual property information, against internal and external threats. In an increasingly digitized business environment, where data is a valuable asset, abuse detection becomes an essential tool for mitigating risks and ensuring compliance with data protection regulations.
