• Home
>
• Resources
>
• White Paper

10 Reasons to Augment Your SIEM with Behavioral Analytics

White Paper

Detect what others miss. Strengthen your SIEM with behavioral insights.

Traditional SIEMs rely on static rules and structured data. But attackers don’t play by the rules and many threats slip through undetected. Security teams need a smarter way to find stealthy activity like credential misuse, insider threats, and lateral movement.

That’s where machine-learned behavioral analytics comes in.

By continuously learning normal behavior and identifying anomalies in real time, modern user and entity behavior analytics (UEBA) helps teams surface hidden threats, reduce false positives, and investigate incidents faster. Augmenting your SIEM with behavioral analytics means moving beyond noise to focus on high-impact threats.

Read this white paper to learn:

• Where rule-based SIEM detection falls short and how behavioral analytics fills the gap
• Key use cases where behavioral analytics enhances detection and speeds investigations
• Evaluation criteria to help you assess the right fit for your organization

Whether you’re facing alert fatigue or struggling to detect credential-based threats, this guide shows how behavioral analytics can help your team respond faster, reduce manual effort, and strengthen detection across your environment.