Awesome Detection Engineering

A curated “awesome list” of learning resources, tools, and best practices for detection engineering—designing, building, and operating detective cybersecurity controls.

• Website: https://github.com/infosecB/awesome-detection-engineering#readme
• Category: Themed directories
• Tags: security, monitoring, devops
• Maintainer / Brand: infosecB

Overview

Awesome Detection Engineering is a community-maintained directory of high‑quality resources focused on the tactical discipline of detection engineering within cybersecurity. It covers how to design, implement, and operate detective controls that proactively identify malicious or unauthorized activity before it affects individuals or organizations.

Features

Curated Structure

• Concepts & Frameworks
  High-level materials that define and explain detection engineering as a function, including theoretical foundations, workflows, and reference models.

• Detection Content & Signatures
  Resources focused on authoring and managing detection logic such as rules, signatures, and analytic content (e.g., for SIEM, EDR, IDS/IPS).

• Logging, Monitoring & Data Sources
  Guidance and references for the telemetry and data needed to support effective detection: log sources, monitoring strategies, and data engineering considerations.

• General Resources
  Broader learning material related to detection engineering practice, including reading lists, talks, and other educational links.

Community & Governance

• Open contribution model – Publicly documented contributing guidelines for adding or updating resources through pull requests.
• Code of Conduct – Repository-level conduct policy to guide community interactions.
• Archived material – archive directory for older or superseded content, keeping the main list focused while preserving historical references.

Repository Assets

• README documentation – Central index of all sections and links in the awesome list.
• License file – Clearly defined open-source license for the list content.
• GitHub workflows – Basic automation and repository workflows defined under .github/workflows.

Licensing

• The project includes a LICENSE file specifying the terms under which the list and its contents are shared (see repository for exact license text).

Contributing

• Contributions are accepted via GitHub pull requests.
• Potential contributors are asked to review:
  • contributing.md – Contribution rules and format.
  • code-of-conduct.md – Expected behavior within the community.

Pricing

• Not applicable. This is a free, open-source curated resource list hosted on GitHub.