Splunk Certified Cybersecurity Defense Analyst study guide
Splunk Certified Cybersecurity Defense Analyst · Work through your exam, one topic at a time.
The Splunk Certified Cybersecurity Defense Analyst credential is an intermediate-level certification for security practitioners who use Splunk Enterprise and Splunk Enterprise Security in day-to-day security operations. Splunk positions it for SOC analysts, cybersecurity professionals, and career builders who want to demonstrate knowledge critical to detecting, analyzing, and combating cyber threats. The exam establishes an intermediate standard for users of Splunk Enterprise and Enterprise Security, with no prerequisites, so candidates can sit it without first completing an administrative certification. Content centers on the analyst workflow: using Splunk analytics for continual monitoring, threat hunting, risk-based alerting, and applying industry best practices to prioritize and investigate activity inside a SOC. The Splunk Certified Cybersecurity Defense Analyst study guide has 4 sections and about 1,204 words.
01SIEM and SOC Fundamentals: The Platform, the App, and the CIM Contract
Splunk Enterprise Security (ES) is an app on top of the Splunk platform. The platform indexes data, runs searches, and handles indexer/search-head architecture; ES adds correlation searches, the asset and identity framework, risk analysis, notable events, and threat intelligence.
299 words, about 1 min02Risk-Based Alerting: Accumulating Weak Signals into One Notable
Threshold alerting fails against quiet adversaries: each individual detection sits below the threshold, yet the combination is damning. Risk-Based Alerting turns each detection into a risk score attached to a risk object (a system, a user, or "other"), lets scores accumulate, and raises a single notable only when the total crosses the configured threshold.
310 words, about 2 min03Threat Hunting: Hypothesis, Data, Evidence
Hunting starts from a hypothesis about attacker behavior, usually expressed as a MITRE ATT&CK technique, not from an existing alert. The loop: form a hypothesis, identify the data required, query it, analyze, refine, and feed findings back into detections - a new correlation search or risk rule.
292 words, about 1 min04Detecting and Investigating Threats: From Notable to Disposition
A correlation search runs on a schedule and turns qualifying results into notable events. Its parts matter: the search and time range, schedule, throttling or suppression fields that prevent duplicate notables per key, severity, and adaptive responses.
303 words, about 2 min