Skip to main content

Detection Rules Optimisation Integration Deployment

Project description

droid

droid is a PySigma wrapper allowing an easy adoption of Sigma and helps enabling Detection-As-Code. The ultimate goal of droid is to consume a repository Sigma rules and deploy them on one or multiple platform (SIEM/EDR). The tool also supports plain SIEM/EDR search queries.

droid workflow

🚀 Features

Key features are:

  1. Validate the syntax of Sigma rules
  2. Convert them by applying a set of transforms per log source and platform
  3. Search in logs and report on findings
  4. Test the rules by leveraging Atomic Red Team™ (work in progress)
  5. Deploy them with any compatible SIEM and EDR (.e.g. Splunk, Microsoft Sentinel)

🚂 Get started

To get started with the tool, visit the documentation page and configure droid for your environment.

Note: Python version 3.11.8+ is required

📚 Resources

License

Licensed under the EUPL.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

detect_droid-0.3.0.tar.gz (51.0 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

detect_droid-0.3.0-py3-none-any.whl (64.1 kB view details)

Uploaded Python 3

File details

Details for the file detect_droid-0.3.0.tar.gz.

File metadata

  • Download URL: detect_droid-0.3.0.tar.gz
  • Upload date:
  • Size: 51.0 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for detect_droid-0.3.0.tar.gz
Algorithm Hash digest
SHA256 87c3120aa828e8b95c75ca904fb684fa6c18af8498a95fd4209b856c4e14d0d4
MD5 173689b39c0674b57cf3efc2d6685d06
BLAKE2b-256 3d58bdcee751623266f93229b6288fc75c0b881ae2da4404c98180624476d294

See more details on using hashes here.

File details

Details for the file detect_droid-0.3.0-py3-none-any.whl.

File metadata

  • Download URL: detect_droid-0.3.0-py3-none-any.whl
  • Upload date:
  • Size: 64.1 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.13.7

File hashes

Hashes for detect_droid-0.3.0-py3-none-any.whl
Algorithm Hash digest
SHA256 81a23c49e509ac1f6ca7412a1780a8175ba3ded311fe553ca0c488a9e2dbe45a
MD5 179ba22adb3a43552c310e6a14088d64
BLAKE2b-256 07f146667971465705f6c594481ca057d1f87f96ab77a1849f875e37d2cf9639

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page