NeuroNet, a pioneer in neural network research, identified an insider siphoning off critical research data.

Comprehensive and Detailed Explanation (ECIH-aligned):

ECIH insider threat guidance highlights Data Loss Prevention (DLP) as a core technical control for preventing unauthorized data exfiltration, regardless of motive.

Option C is correct because DLP systems monitor, detect, and block sensitive data transfers across endpoints, networks, and cloud services. Even trusted insiders with legitimate access can be prevented from exfiltrating data without authorization.

Options A and B are administrative controls that do not scale well. Option D addresses morale but not security enforcement.

By implementing DLP, NeuroNet can enforce data protection policies while maintaining productivity, aligning directly with ECIH best practices.