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Building Security Detection Rules With Splunk SPL
building-detection-rule-with-splunk-spl
mukul975/Anthropic-Cybersecurity-Skills
299
This guide details how to write advanced correlation searches using Splunk's Search Processing Language (SPL). It covers techniques like threshold-based detection, sequence analysis, and anomaly detection to identify sophisticated security threats (e.g., brute force, data exfiltration, lateral movement) in a Security Operations Center (SOC) environment. Mastery of SPL is essential for closing SIEM detection gaps and ensuring compliance.
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SIEM Use Case Tuning and Optimization
implementing-siem-use-case-tuning
mukul975/Anthropic-Cybersecurity-Skills
113
This skill guides security teams on systematically tuning SIEM detection rules in platforms like Splunk and Elastic. It focuses on reducing alert fatigue and false positives by analyzing historical alert volumes, establishing environmental baselines, creating context-aware whitelists, and measuring detection efficacy using metrics like precision and recall. This is crucial for maturing a Security Operations Center (SOC).
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