Boost Your SIEM with High-Quality Threat Detection Rules

Supercharge your Elastic Security capabilities with this comprehensive bundle of 1165 Sigma rules,
expertly converted for immediate use in your SIEM. Derived from the industry-standard SigmaHQ repository,
these Cybersecurity Rules provide robust coverage against a wide range of TTPs (Tactics, Techniques, and Procedures).

Designed for SOC analysts and threat hunters, this package helps you detect advanced threats, including Windows Security anomalies,
suspicious Process Creation, and potential Malware Detection events. The rules are provided as an
Importable NDJSON file, ready to be uploaded directly as Kibana Saved Objects.

Compatibility & Requirements

  • Platform: Elastic Stack (ELK) & Elastic Security
  • Versions: Compatible with Elastic Stack 8.x (8.0 – 8.17+) and Serverless
  • Format: Kibana Saved Objects (NDJSON)
  • Schema: Mapped to ECS (Elastic Common Schema)

Top MITRE ATT&CK Tactics Covered

This bundle offers significant depth across the MITRE ATT&CK framework. Key tactics covered include:

  • Defense Evasion: 600 rules
  • Execution: 329 rules
  • Privilege Escalation: 169 rules
  • Persistence: 150 rules
  • Credential Access: 111 rules

Installation Instructions

  1. Download the .zip file and extract the .ndjson file.
  2. Open Kibana and navigate to Stack Management > Saved Objects.
  3. Click Import and select the extracted NDJSON file.
  4. Ensure “Check for existing objects” is selected to avoid duplicates.
  5. Once imported, the rules will appear in the Security > Rules section, ready to be enabled.

Updated on February 15, 2026. Source: SigmaHQ.

Tested versions
ECS compliant

You must log in to submit a review.

Related downloads

Vega Compound Gauge

This is a compund gauge visualization made with Vega. Its very helpful for visualization of percentage values.

RUM extension dashboard

This dashboard provide deeper insight into the real user monitoring data collected by Elastic RUM.

Watch for changes in IOWaits

A watch which alerts if the time spent by a hosts CPU in IOWait, has increased by more than than N% in the last Y mins.

Watcher job to integrate ChatGPT in Elasticsearch

Watcher job to integrate ChatGPT API from OpenAI in Elasticsearch. Helpful to find solutions for error messages very quick.

Sigma Sysmon detection rules

A collection of rules based on the Sigma detection rules for Windows Sysmon events based on Winlogbeat data.

osquery performance dashboard

Kibana Dashboard example to visualize osquery performance

These downloads could be also interesting for you

Kibana Canvas examples collection

Average rating:

A collection of canvas examples, like using conditionals, creating buttons, animations or context menues. Just copy paste into your Kibana Canvas project.

Watch to detect large shards

This watch is getting data from the Elasticsearch shards API directly and checking for large shards.

Plex ingest node pipeline

A plex ingest node pipeline to parse logs from Plex for Elasticsearch

Microsoft 365 Dashboards for Elastic

Visualize your Microsoft 365 data in Kibana.

CMDB dependency in Kibana Dashboard

Kibana vega example to show how to load visualize relationships between different infrastructure and network components in vega.

Uptime watch using Heartbeat data

This watch checks the availability of your Heartbeat observed services. It will trigger an alert whenever at least one of your services is down.