10 Reasons to Augment Your SIEM with Behavioral Analytics
Guide
How behavioral analytics improves detection, prioritization, and investigation in modern security operations
This guide explains 10 reasons security operations teams augment SIEMs with behavioral analytics to detect identity-driven threats and prioritize investigations more effectively.
Security operations teams manage growing alert volumes while attacks increasingly rely on compromised credentials, trusted access, and gradual misuse. Traditional SIEM detections struggle to distinguish normal behavior from activity that signals real risk, leaving teams to manually connect context during investigations.
This guide breaks down how behavioral analytics changes detection and investigation outcomes. It shows where risk scoring, behavior modeling, and automation reduce noise, surface meaningful activity, and help teams focus investigative effort where it will have the most impact.
Key Questions This Guide Helps You Answer
- Why do rule-based SIEM detections struggle with credential misuse and insider activity?
- How does behavioral analytics help distinguish legitimate behavior from malicious patterns?
- What role does risk scoring play in prioritizing investigaitons?
- How does behavioral analytics apply to users, service accounts, and AI agents?
- Where does automation reduce manual investigation effort without replacing analyst judgment?
- When does augmenting a SIEM deliver measurable operational improvement?
How Does Exabeam Apply Behavioral Analytics to SIEM Data?
New-Scale Analytics adds behavioral analytics and risk scoring to existing SIEM data. It models behavior for users, service accounts, and AI agents. It also groups related activity and assigns risk scores based on severity and persistence. New-Scale Fusion brings this context into structured investigation workflows that help security operations teams assess risk and determine next steps for response.
Download the guide to understand where behavioral analytics strengthens SIEM detection and investigation outcomes.
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