DLP software monitors data movement and can identify attempts to transfer sensitive information outside authorized channels. This makes it a more targeted approach for catching malicious insiders.
However, a layered security approach is ideal. For comprehensive protection, consider combining DLP with behavioral analytics and ongoing security awareness training.
Behavioral analytics monitoring involves analyzing users' behavior patterns and activities within the organization's systems and networks to detect unusual or suspicious actions that may indicate unauthorized access or data exfiltration. By continuously monitoring user behavior and identifying deviations from normal patterns, organizations can detect potential insider threats and unauthorized data transfers more effectively than relying solely on static rules or signatures.
While implementing data loss prevention (DLP) software (option D) is an important measure for preventing and detecting data exfiltration, it primarily focuses on enforcing policies and controls to prevent sensitive data from leaving the organization's network. Behavioral analytics monitoring complements DLP by providing real-time visibility into user activities and behaviors, allowing organizations to proactively identify insider threats, including those that may bypass traditional security measures.
but it may not be as specific to identifying exfiltration of sensitive data by a malicious insider, the correct answer is D: It can detect and prevent data exfiltration attempts by malicious insiders, as well as accidental data leaks.
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