Most Recent Splunk SPLK-5002 Exam Dumps

Updating the SOP for Handling Phishing Incidents

A Standard Operating Procedure (SOP) should focus on prevention, detection, and response.

1. Documenting Steps for User Awareness Training (C)

Training employees helps prevent phishing incidents.

Example:

Teach users to identify phishing emails and report them via a Splunk SOAR playbook.

Incorrect Answers:

A . Ensuring all reports are manually verified by analysts Automation (via SOAR) should be used for initial triage.

B . Automating the isolation of suspected phishing emails Automation is useful, but user education prevents incidents.

D . Reporting incidents to the executive board immediately Only major security breaches should be escalated to executives.

Additional Resources:

NIST Incident Response Guide

Splunk Phishing Detection Playbooks

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.

Managing Notable Events in Splunk ES

Best Practices for Tuning Correlation Searches

Using Suppression in Splunk ES

Why Use Index-Time Transformations for One-Time Parsing & Indexing?

Splunk parses and indexes data once during ingestion to ensure efficient storage and search performance. Index-time transformations ensure that logs are:

Parsed, transformed, and stored efficiently before indexing. Normalized before indexing, so the SOC team doesn't need to clean up fields later. Processed once, ensuring optimal storage utilization.

Example of Index-Time Transformation in Splunk: Scenario: The SOC team needs to mask sensitive data in security logs before storing them in Splunk. Solution: Use an INDEXED_EXTRACTIONS rule to:

Redact confidential fields (e.g., obfuscate Social Security Numbers in logs).

Rename fields for consistency before indexing.

How to Reduce False Positives in Correlation Searches?

High false positives can overwhelm SOC teams, causing alert fatigue and missed real threats. The best solution is to fine-tune suppression rules and refine thresholds.

How Suppression Rules & Threshold Tuning Help: Suppression Rules: Prevent repeated false positives from low-risk recurring events (e.g., normal system scans). Threshold Refinement: Adjust sensitivity to focus on true threats (e.g., changing a login failure alert from 3 to 10 failed attempts).

Example in Splunk ES: Scenario: A correlation search generates too many alerts for failed logins. Fix: SOC analysts refine detection thresholds:

Suppress alerts if failed logins occur within a short timeframe but are followed by a successful login.

Only trigger an alert if failed logins exceed 10 attempts within 5 minutes.

Why Not the Other Options?

A. Increase the frequency of the correlation search -- Increases search load without reducing false positives. C. Disable the correlation search temporarily -- Leads to blind spots in detection. D. Limit the search to a single index -- May exclude critical security logs from detection.

Reference & Learning Resources

Splunk ES Correlation Search Optimization Guide: https://docs.splunk.com/Documentation/ES Reducing False Positives in SOC Workflows: https://splunkbase.splunk.com Fine-Tuning Security Alerts in Splunk: https://www.splunk.com/en_us/blog/security

Effective case management in Splunk Enterprise Security (ES) helps streamline incident tracking, investigation, and resolution.

How to Optimize Case Management:

Standardizing ticket creation workflows (A)

Ensures consistency in how incidents are reported and tracked.

Reduces manual errors and improves collaboration between SOC teams.

Integrating Splunk with ITSM tools (C)

Automates the process of creating and updating tickets in ServiceNow, Jira, or Remedy.

Enables better tracking of incidents and response actions.

Incorrect Answers: B. Increasing the indexing frequency -- This improves data availability but does not directly optimize case management. D. Reducing the number of search heads -- This might degrade search performance rather than optimize case handling.

Splunk ES Case Management

Integrating Splunk with ServiceNow

Automating Ticket Creation in Splunk