Individual skill
building-detection-rule-with-splunk-spl
Build effective detection rules using Splunk Search Processing Language (SPL) correlation searches to identify security threats in SOC environments.
skills/building-detection-rule-with-splunk-spl/SKILL.md
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- ai-agents Repository topic
- claude-code Repository topic
- cybersecurity Repository topic
- incident-response Repository topic
- mitre-attack Repository topic
- penetration-testing Repository topic
- red-team Repository topic
- security Repository topic
- cloud-security Repository topic
- malware-analysis Repository topic
- splunk Declared skill tag
- spl Declared skill tag
- detection-engineering Declared skill tag
- correlation-search Declared skill tag
- siem Declared skill tag
- soc Declared skill tag
- threat-detection Declared skill tag
- enterprise-security Declared skill tag
- security Derived category
- engineering Derived category
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LICENSEasset · 11,255 bytesSKILL.mdcore · 10,691 bytesassets/template.mddoc · 1,982 bytesreferences/api-reference.mddoc · 1,554 bytesreferences/standards.mddoc · 2,366 bytesreferences/workflows.mddoc · 2,069 bytesscripts/agent.pyruns · 6,128 bytesscripts/process.pyruns · 14,541 bytes
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# Building Detection Rules with Splunk SPL
## Overview
Splunk Search Processing Language (SPL) is the primary query language used in Splunk Enterprise Security for building correlation searches that detect suspicious events and patterns. A well-crafted detection rule aggregates, correlates, and enriches security events to generate actionable notable events for SOC analysts. Enterprise SIEMs on average cover only 21% of MITRE ATT&CK techniques, making skilled SPL rule writing essential for closing detection gaps.
## When to Use
- When deploying or configuring building detection rule with splunk spl capabilities in your environment
- When establishing security controls aligned to compliance requirements
- When building or improving security architecture for this domain
- When conducting security assessments that require this implementation
