A company plans to implement an insider risk solution in Microsoft 365. The company needs to implement a solution that meets the following requirements: - Uses machine learning to identify email…

Communication compliance policies leverage built-in machine learning classifiers to detect inappropriate or risky content in emails and other communications. The solution provides an investigation and remediation workflow allowing reviewers to act on flagged messages, and includes a dashboard displaying alerts, trends, and actions taken - directly satisfying all three requirements.

Core eDiscovery is a legal hold and content search tool used for litigation and investigations, not for proactive monitoring of email risks with ML or remediation dashboards.

Advanced eDiscovery extends Core eDiscovery with deeper analytics for legal review workflows, but it is not designed to proactively identify insider email risks using machine learning or provide a risk-trend dashboard.

Sensitivity labels are used to classify and protect documents and emails based on sensitivity level, but they do not provide machine learning-based risk detection, remediation workflows, or a risk dashboard.