security-detection-rule-management

Name: security-detection-rule-management
Availability: InStock
Author: elastic

Manage Elastic Security detection rules via API with exception tuning.

546|44|Updated Mar 6, 2026

Search Tags:#security #threat detection #rule management #false positives #detection rules #kibana

Ready to run

npx skills add https://github.com/elastic/agent-skills --skill security-detection-rule-management

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: security-detection-rule-management
Source: https://github.com/elastic/agent-skills/tree/main/skills/security/detection-rule-management
Command: npx skills add https://github.com/elastic/agent-skills --skill security-detection-rule-management

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires @elastic/elasticsearch, node-fetch, and includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill streamlines the process of creating, tuning, and managing detection rules within Elastic Security, helping to reduce false positives and improve threat detection coverage.

Core Features & Use Cases

Rule Creation: Define and deploy new detection rules based on threat intelligence or observed activity.
False Positive Tuning: Identify and mitigate noisy rules by adding exceptions or refining rule queries.
Rule Management: Enable, disable, or delete existing rules as needed.
Use Case: A security analyst notices a specific rule is generating too many alerts for legitimate activity. They use this Skill to add a targeted exception, scope it to the specific rule, and significantly reduce alert fatigue without compromising detection for other threats.

Quick Start

Use the security-detection-rule-management skill to find the noisiest detection rules from the last 7 days.

Frequently Asked Questions about security-detection-rule-management

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

FAQPage Schema

How do I reduce false positives in Elastic Security detection rules?▼

Reduce false positives in Elastic Security detection rules by adding targeted exceptions or refining rule queries. This mitigates noisy rules generating excessive alerts for legitimate activity, significantly reducing alert fatigue without compromising broader threat detection coverage.

How do I create detection rules in Kibana using an API?▼

Create detection rules in Kibana using the API to define and deploy new threat intelligence rules based on observed activity. This supports the complete rule lifecycle, enabling efficient creation, tuning, and operational management of security alerts.

Why does a specific detection rule generate too many alerts for legitimate activity?▼

A detection rule generates excessive alerts for legitimate activity due to overly broad query scoping. Analyze rule alert volume over a 7-day window, then add scoped exceptions to suppress specific legitimate behaviors while maintaining threat detection integrity.

What's the best way to manage rule alert volume for noisy detection rules?▼

Manage rule alert volume for noisy detection rules by analyzing alert frequency over the last 7 days. Identify the noisiest rules, then apply targeted exceptions or refine queries to significantly reduce alert fatigue while preserving proactive threat coverage.

Can I use Elasticsearch to tune and delete existing threat detection rules?▼

Use Elasticsearch to tune and delete existing threat detection rules as needed. The system supports enabling, disabling, or deleting rules via API, addressing the need for efficient security rule lifecycle management and proactive threat coverage enhancement.