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CCSP Practice Question: A multinational corporation runs its critical…
A multinational corporation runs its critical applications on a cloud platform. The security team has implemented a Security Information and Event Management (SIEM) solution that collects logs from various cloud services, including virtual machines, storage, and databases. The SIEM is configured to generate alerts based on predefined rules. Recently, the team noticed an increase in false positive alerts, causing alert fatigue among the analysts. Additionally, there is a lack of context in the alerts, making it difficult to triage and prioritize incidents. The team wants to improve the efficiency of the SOC without increasing headcount. Which of the following is the BEST course of action to address these issues?
⚠ Common exam trap
ISC2 often tests the distinction between reducing alert volume (e.g., tuning thresholds) and improving alert quality (e.g., adding context via UEBA), trapping candidates who choose threshold increases or additional rules without recognizing that false positives stem from static, context-free detection logic.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
Deploy a user and entity behavior analytics (UEBA) tool to baseline normal behavior and generate alerts based on anomalies.
UEBA uses machine learning to establish baselines of normal user and entity behavior, then generates alerts only when deviations occur. This directly reduces false positives by filtering out benign anomalies and enriches alerts with behavioral context, enabling analysts to triage and prioritize incidents more efficiently without increasing headcount.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✓
Deploy a user and entity behavior analytics (UEBA) tool to baseline normal behavior and generate alerts based on anomalies.
Why this is correct
UEBA reduces false positives by focusing on deviations from normal behavior.
- ✗
Assign more analysts to manually review and tune the alert rules.
Why it's wrong here
Manual tuning is time-consuming and does not scale without headcount increase.
- ✗
Implement automated response playbooks for the most common alerts to reduce analyst workload.
Why it's wrong here
Automation does not reduce false positives; it may automate responses to false positives.
- ✗
Increase the threshold levels for all alert rules to reduce the number of alerts generated.
Why it's wrong here
Higher thresholds may suppress true positives and still not address false positives effectively.
- ✗
Create additional correlation rules to capture more specific attack patterns.
Why it's wrong here
More rules increase alert volume and may not reduce false positives.
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JA
Written by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
This CCSP practice question is part of Courseiva's free ISC2 certification practice question bank. Courseiva provides original exam-style practice questions with explanations, topic-based practice, mock exams, readiness tracking, and study analytics to help learners prepare for the CCSP exam.