siem-logging

Configure SIEM systems for threat detection, log aggregation, and compliance.

503|73|Updated Nov 13, 2025
One-click install
npx skills add https://github.com/ancoleman/ai-design-components --skill siem-logging
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: siem-logging
Source: https://github.com/ancoleman/ai-design-components/tree/main/skills/siem-logging
Command: npx skills add https://github.com/ancoleman/ai-design-components --skill siem-logging

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill helps you establish a robust Security Information and Event Management (SIEM) system to centralize security logs, enabling effective threat detection, incident investigation, and compliance.

Core Features & Use Cases

  • SIEM Platform Selection: Provides a decision framework for choosing between Elastic SIEM, Microsoft Sentinel, Wazuh, and Splunk based on budget, infrastructure, and expertise.
  • Detection Rule Development: Guides the creation of universal SIGMA rules and platform-specific queries (EQL, KQL, SPL) for threat detection.
  • Log Aggregation Architecture: Details centralized, distributed, and cloud-native architectures for collecting logs.
  • Compliance & Retention: Outlines log retention policies to meet GDPR, HIPAA, PCI DSS, and SOC 2 requirements.
  • Alert Tuning: Strategies for reducing false positives and optimizing alert quality.
  • Use Case: Implement a SIEM solution to monitor for brute-force attacks, detect privilege escalation, and ensure audit trails for compliance.

Quick Start

Use the siem-logging skill to configure Microsoft Sentinel for Azure AD log ingestion.

Frequently Asked Questions about siem-logging

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I choose the best SIEM platform for threat detection and compliance?

Choosing a SIEM platform involves evaluating budget, infrastructure, and expertise to select between Elastic SIEM, Microsoft Sentinel, Wazuh, and Splunk for effective threat detection and compliance.

How do I write detection rules using SIGMA and platform-specific languages?

Detection rule development uses universal SIGMA rules alongside platform-specific queries like EQL, KQL, and SPL to identify threats such as privilege escalation and brute-force attacks.

What log retention policies are needed for GDPR, HIPAA, and PCI DSS compliance?

Log retention policies for GDPR, HIPAA, PCI DSS, and SOC 2 compliance require configuring specific data preservation durations within your SIEM to ensure audit trails meet regulatory standards.

Can I configure Microsoft Sentinel for Azure AD log ingestion?

Configuring Microsoft Sentinel for Azure AD log ingestion is supported, utilizing a cloud-native log aggregation architecture to centralize security events for incident investigation.

What architectures support centralized security logging across cloud and on-premise infrastructure?

Centralized security logging across cloud and on-premise infrastructure utilizes centralized, distributed, and cloud-native architectures to aggregate logs for threat hunting and regulatory compliance.

Why does my SIEM generate so many false positives during threat detection?

High false positives in threat detection occur when SIEM rules lack optimization; alert tuning strategies reduce noise by refining detection rules to improve overall alert quality.