Notable events in Splunk Enterprise Security (ES) are triggered by correlation searches, which generate alerts when suspicious activity is detected. However, if too many false positives occur, analysts waste time investigating non-issues, reducing SOC efficiency.

How to Improve Notable Events Effectiveness:

Apply suppression rules to filter out known false positives and reduce alert fatigue.

Refine correlation searches by adjusting thresholds and tuning event detection logic.

Leverage risk-based alerting (RBA) to prioritize high-risk events.

Use adaptive response actions to enrich events dynamically.

By suppressing false positives, SOC analysts focus on real threats, making notable events more actionable. Thus, the correct answer is A. Applying suppression rules for false positives.

References:

Managing Notable Events in Splunk ES

Best Practices for Tuning Correlation Searches

Using Suppression in Splunk ES

Why Configure Asset & Identity Information for Privileged Accounts First?

Risk-based detection focuses on identifying and prioritizing threats based on the severity of their impact. For privileged accounts (admins, domain controllers, finance users), understanding who they are, what they access, and how they behave is critical.

???? Key Steps for Risk-Based Detection in Splunk ES: 1️ ⃣ Define Privileged Accounts & Groups – Identify high-risk users (Admin, HR, Finance, CISO). 2️ ⃣ Assign Risk Scores – Apply higher scores to actions involving privileged users. 3️ ⃣ Enable Identity & Asset Correlation – Link users to assets for better detection. 4️ ⃣ Monitor for Anomalies – Detect abnormal login patterns, excessive file access, or unusual privilege escalation.

???? Example in Splunk ES:

A domain admin logs in from an unusual location → Trigger high-risk alert

A finance director downloads sensitive payroll data at midnight → Escalate for investigation

Why Not the Other Options?

❌ B. Correlation searches with low thresholds – May generate excessive false positives, overwhelming the SOC. ❌ C. Event sampling for raw data – Doesn’t provide context for risk-based detection. ❌ D. Automated dashboards for all accounts – Useful for visibility, but not the first step for risk-based security.

References & Learning Resources

???? Splunk ES Risk-Based Alerting (RBA): https://www.splunk.com/en_us/blog/security/risk-based-alerting.html ???? Privileged Account Monitoring in Splunk: https://docs.splunk.com/Documentation/ES/latest/User/RiskBasedAlerting ???? Implementing Privileged Access Security (PAM) with Splunk: https://splunkbase.splunk.com

Splunk SOAR (Security Orchestration, Automation, and Response) improves security operations by automating routine tasks.

✅ 1. Faster Incident Resolution (A)

SOAR playbooks reduce response time from hours to minutes.

Example:

A malicious IP is automatically blocked in the firewall after detection.

✅ 2. Scaling Manual Efforts (C)

Automation allows security teams to handle more incidents without increasing headcount.

Example:

Instead of manually reviewing phishing emails, SOAR triages them automatically.

✅ 3. Consistent Task Execution (D)

Ensures standardized responses to security incidents.

Example:

Every malware alert follows the same containment process.

❌ Incorrect Answers:

B. Reducing false positives → SOAR automates response but does not inherently reduce false positives (SIEM tuning does).

E. Eliminating all human intervention → Human analysts are still needed for decision-making.

???? Additional Resources:

Splunk SOAR Automation Guide

Best Practices for SOAR Implementation

Understanding Risk-Based Prioritization

Risk-based prioritization is a methodology that evaluates both the likelihood and impact of risks to determine which threats require immediate action.

✅ Why Risk-Based Prioritization?

Focuses on high-impact and high-likelihood risks first.

Helps SOC teams manage alerts effectively and avoid alert fatigue.

Used in SIEM solutions (Splunk ES) and Risk-Based Alerting (RBA) .

Example in Splunk Enterprise Security (ES):

A failed login attempt from an internal employee might be low risk (low impact, low likelihood).

Multiple failed logins from a foreign country with a known bad reputation could be high risk (high impact, high likelihood).

❌ Incorrect Answers:

A. Threat modeling → Identifies potential threats but doesn’t prioritize risks dynamically .

C. Incident lifecycle management → Focuses on handling security incidents, not risk evaluation .

D. Statistical anomaly detection → Detects unusual activity but doesn’t prioritize based on impact .

???? Additional Resources:

Splunk Risk-Based Alerting (RBA) Guide

NIST Risk Assessment Framework

Effective security reporting helps SOC teams, executives, and compliance officers make informed decisions.

✅ 1. Automating Report Generation (A)

Saves time by scheduling reports for regular distribution.

Reduces manual effort and ensures timely insights.

Example:

A weekly phishing attack report sent to SOC analysts.

✅ 2. Customizing Reports for Different Audiences (B)

Technical reports for SOC teams include detailed event logs.

Executive summaries provide risk assessments and trends.

Example:

SOC analysts see incident logs, while executives get a risk summary.

✅ 3. Providing Actionable Recommendations (D)

Reports should not just show data but suggest actions.

Example:

If failed login attempts increase, recommend MFA enforcement.

❌ Incorrect Answers:

C. Including unrelated historical data for context → Reports should be concise and relevant.

E. Using dynamic filters for better analysis → Useful in dashboards, but not a primary factor in reporting effectiveness.

???? Additional Resources:

Splunk Security Reporting Guide

Best Practices for Security Metrics

Why Are These Practices Essential for SOP Development?

Standard Operating Procedures (SOPs) are crucial for ensuring consistent, repeatable, and effective security operations in a Security Operations Center (SOC) . Strengthening SOP development ensures efficiency, clarity, and adaptability in responding to incidents.

1️ ⃣ Regular Updates Based on Feedback (Answer A)

Security threats evolve, and SOPs must be updated based on real-world incidents, analyst feedback, and lessons learned .

Example: A new ransomware variant is detected; the SOP is updated to include a specific containment playbook in Splunk SOAR.

2️ ⃣ Collaborating with Cross-Functional Teams (Answer C)

Effective SOPs require input from SOC analysts, threat hunters, IT, compliance teams, and DevSecOps .

Ensures that all relevant security and business perspectives are covered.

Example: A SOC team collaborates with DevOps to ensure that a cloud security response SOP aligns with AWS security controls.

3️ ⃣ Including Detailed Step-by-Step Instructions (Answer D)

SOPs should provide clear, actionable, and standardized steps for security analysts.

Example: A Splunk ES incident response SOP should include:

How to investigate a security alert using correlation searches.

How to escalate incidents based on risk levels.

How to trigger a Splunk SOAR playbook for automated remediation.

Why Not the Other Options?

❌ B. Focusing solely on high-risk scenarios – All security events matter , not just high-risk ones. Low-level alerts can be early indicators of larger threats. ❌ E. Excluding historical incident data – Past incidents provide valuable lessons to improve SOPs and incident response workflows .

References & Learning Resources

???? Best Practices for SOPs in Cybersecurity : https://www.nist.gov/cybersecurity-framework ???? Splunk SOAR Playbook SOP Development : https://docs.splunk.com/Documentation/SOAR ???? Incident Response SOPs with Splunk : https://splunkbase.splunk.com

Primary Function of Summary Indexing in Splunk Reporting

Summary indexing allows pre-aggregation of data to improve performance and speed up reports.

✅ Why Use Summary Indexing?

Reduces processing time by storing computed results instead of raw data.

Helps SOC teams generate reports faster and optimize search performance.

Example:

Instead of searching millions of firewall logs in real-time, a summary index stores daily aggregated counts of blocked IPs.

❌ Incorrect Answers:

A. Storing unprocessed log data → Raw logs are stored in primary indexes, not summary indexes.

C. Normalizing raw data for analysis → Normalization is handled by CIM and data models.

D. Enhancing the accuracy of alerts → Summary indexing improves reporting performance, not alert accuracy.

???? Additional Resources:

Splunk Summary Indexing Guide

Optimizing SIEM Reports in Splunk