14 Behavioral Analytics Use Cases Security Operations Teams Should Evaluate
Guide
A practical guide for assessing behavior‑based detection and investigation readiness across users, entities, and AI agents
This guide outlines 14 behavioral analytics use cases security operations teams can evaluate to detect, prioritize, and investigate identity‑driven risk.
Threats tied to credential misuse, insider activity, and automation often appear legitimate and evade rule‑based detection. As service accounts and AI agents take on more work, security operations teams face growing gaps in visibility and investigation readiness.
This guide provides a structured way to evaluate behavioral analytics across people, systems, and agents. It helps teams identify which use cases are the most important, where risk goes undetected, and how behavioral insights improve investigation efficiency.
Key Questions This Guide Helps You Answer
- Which behavioral analytics use cases are most important for modern security operations?
- How does behavioral detection improve investigation and prioritization?
- Where do credential misuse and insider threats evade traditional tools?
- How should service accounts and AI agents be evaluated as identities?
- Why does AI agent security belong alongside UEBA use cases?
How Does Exabeam Approach Behavioral Analytics?
Exabeam applies behavioral analytics to model normal activity across users, entities, and agents. By evaluating deviations over time, security operations teams gain earlier visibility into risk and clearer investigative context as environments become more automated.
Download the guide to evaluate behavioral analytics use cases and assess detection and investigation readiness.
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