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Detection Engineering

78 items from infosecb/awesome-detection-engineering ★1,357

  1. Elastic Detection Rules github.com

    Elastic's detection rules written natively for the Elastic SIEM. Can easily be converted for use by other SIEMs using Uncoder.

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  2. Elastic's Detection Engineering Behavior Maturity Model elastic.co

    Elastic's qualitative and quantitative approach to measuring threat detection program maturity.

  3. Elastic Common Schema elastic.co

    Elastic's proprietary model used as a framework for normalizing security data.

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  4. Splunk Common Information Model (CIM) docs.splunk.com

    Splunk's proprietary model used as a framework for normalizing security data.

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  5. GCP Security Command Center Findings docs.cloud.google.com

    A list of all GCP Security Command Center Findings, their descriptions, and associated data sources.

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  6. AWS GuardDuty Findings docs.aws.amazon.com

    A list of all AWS GuardDuty Findings, their descriptions, and associated data sources.

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  7. Detections Digest | Sergey Polzunov detections-digest.rulecheck.io

    A newsletter that features updates from many popular detection content sources listed here.

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  8. Detection Engineering Field Manual | Zack Allen detectionengineering.net

    a series of posts exploring the various foundational components of Detection Engineering.

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  9. Detection Engineering Weekly | Zack Allen detectionengineering.net

    A newsletter dedicated to news and how-tos for Detection Engineering.

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  10. Detection Engineering Maturity Matrix | Kyle Bailey detectionengineering.io

    A detailed matrix that serves as a tool to measure the overall maturity of an organization's Detection Engineering program.

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  11. The Pyramid of Pain | David J Bianco detect-respond.blogspot.com

    A model used to describe various categorizations of indicator's of compromise and their level of effectiveness in detecting threat actors.

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  12. How Google Does It: Making threat detection high-quality, scalable, and modern | Anton Chuvakin, Tim Nguyen cloud.google.com

    The team at Google highlights 5 key principles for building a high quality, scalable and modern threat detection program.

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  13. CAR Coverage Comparison car.mitre.org

    A matrix of MITRE ATT&CK technique IDs and links to available Splunk Security Content, Elastic detection rules, Sigma rules, and CAR content.

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  14. MITRE Cyber Analytics Repository (CAR) car.mitre.org

    MITRE's well-maintained repository of detection content.

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  15. The Zen of Security Rules | Justin Ibarra br0k3nlab.com

    Outlines 19 aphorisms that serve as universal principles for the creation of high quality detection content.

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  16. MaGMa (Management, Growth and Metrics & Assessment) Use Case Definition Model betaalvereniging.nl

    A business-centric approach for defining threat detection use cases.

  17. AttackRuleMap attackrulemap.com

    Mapping of open-source detection rules and atomic tests.

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  18. MITRE ATT&CK Data Sources List attack.mitre.org

    Data source objects added to MITRE ATT&CK as part of v10.

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  19. MITRE ATT&CK attack.mitre.org

    The foundational framework of adversary tactics, techniques, and procedures based on real-world observations.

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  20. CTI Analyst Field Manual | Andrey Pautov 1200km.com

    Practical CTI-to-detection reference covering evidence labels, source reliability, ATT&CK mapping gates, hunting hypotheses, and detection backlog workflow.

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  21. Security Monitoring Labs | cybersecurity101.net cybersecurity101.net

    48 free, step-by-step labs that build a small Wazuh monitoring stack on your own VMs, connect Linux and Windows (Sysmon) log sources, then write and tune detection rules, test them with simulated events, triage alerts and report on coverage. No account or hosted platform.

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  22. Clankerusecase clankerusecase.com

    Threat-led library of 7,800+ MITRE ATT&CK-mapped detections in Defender/Sentinel KQL, Sigma, Splunk SPL, Datadog, Falcon LogScale, and AWS CloudWatch, generated from public threat-intel reporting and schema-validated before publish.

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