This brief focuses on identifying and responding to risky login behavior, such as unusual locations, times, or access patterns. Traditional rule-based systems struggle to detect these threats because stolen credentials appear legitimate. Exabeam addresses this with behavioral analytics that establish baselines for each user and flag meaningful deviations. Automated timelines (illustrated on page 2) provide clear visibility into authentication events, while risk scoring prioritizes critical threats. Response is streamlined through automated playbooks that can suspend accounts or enforce MFA. The solution also extends to AI agents, ensuring identity protection across both human and automated activity.

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