What should be used to prevent data breaches caused by insider threats based on the indicators of compromise?

Data loss prevention (DLP) is critical for preventing data breaches caused by insider threats because it focuses specifically on identifying, monitoring, and protecting sensitive information from unauthorized access and transmission. Insider threats can often stem from employees inadvertently sharing or intentionally misappropriating sensitive data; DLP solutions help mitigate these risks by implementing policies that detect and block the unauthorized transfer of sensitive data outside the organization.

For example, DLP tools can enforce encryption, control access, and monitor data transfers to ensure that sensitive information is not leaked. They can analyze user behavior to identify potential indicators of compromise, such as attempts to transfer large amounts of sensitive data or access data they typically would not need for their role. By focusing on data itself, DLP provides a robust layer of security against insider threats, which might not be addressed by other measures.

While network monitoring, intrusion detection systems (IDS), and access control systems (ACS) play important roles in overall security—monitoring network traffic, detecting intrusions, and managing user permissions—they do not specifically target the processes related to the handling and safeguarding of sensitive data. Therefore, DLP stands out as the most effective choice for preventing data breaches stemming from insider actions.