The Risk framework aggregates risky behaviors and assigns risk scores to users, systems, or accounts, while the Assets & Identities framework enriches events by correlating them with identity and asset information. Together, they programmatically associate different machines and accounts back to a single owner, as shown with Fyodor in the screenshot.

By default, Splunk Enterprise Security associates risk scores with five levels: Info, Low, Medium, High, and Critical. These levels help prioritize security events and focus analyst attention on the most impactful risks.

Key Elements of Security Program Documentation
A security program's documentation ensures consistency, compliance, and efficiency in cybersecurity operations.
#Why Include Standard Operating Procedures (SOPs)?
Defines step-by-step processesfor security tasks.
Ensures security teams followstandardized workflowsfor handling incidents, vulnerabilities, and monitoring.
Supportscompliance with regulationslikeNIST, ISO 27001, and CIS controls.
Example:
SOP forincident responseoutlines how analysts escalate security threats.
#Incorrect Answers:
A: Vendor contract details# Vendor agreements are important butnot core to a security program's documentation.
B: Organizational hierarchy chart# Useful for internal structure butnot essential for security documentation.
D: Financial cost breakdown# Related to budgeting, not security operations.
#Additional Resources:
NIST Security Documentation Framework
Splunk Security Operations Guide

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

Within the CIM Authentication Data Model , the action field represents the outcome or state of an authentication operation. The recommended normalized values represented by the question are success, failure, pending, and error .
Normalization is critical because authentication technologies use highly variable native terminology. A Windows event may represent an authentication result through one event code, a VPN appliance through another vendor-specific status, and a cloud identity provider through a JSON result field. CIM maps those source-specific outcomes into common semantic values. A detection engineer can therefore write logic such as:
action= " failure "
without separately accounting for every vendor ' s native representation.
allowed and blocked are more naturally associated with access or network-control decisions and do not describe the normalized authentication outcome being tested. Likewise, denied does not replace the CIM- normalized failure value in the answer set.
Consistent use of the expected action vocabulary directly affects detection reliability. Incorrect mappings can cause failed authentications to disappear from CIM-based searches, dashboards, accelerated data-model queries, and threshold detections.
Study Guide topics: Authentication Data Model; CIM; action; normalized authentication outcomes; data mapping; cross-source detection engineering.