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  1. Not what you've signed up for: Compromising Real-World LLM-Integrated Applications with Indirect Prompt Injection arxiv.org

    This paper explores the concept of Indirect Prompt Injection attacks on Large Language Models (LLMs) through their integration with various applications. It identifies significant security risks, including remote data theft and ecosystem contamination, present in both…

  2. Agents Rule of Two: A Practical Approach to AI Agent Security ai.meta.com

    Meta's Oct 2025 framework stating that agents must satisfy no more than two of: (A) processing untrustworthy inputs, (B) access to sensitive data, (C) ability to change state externally, a deterministic architectural approach to bounding blast radius.

  3. Attention Tracker: Detecting Prompt Injection Attacks in LLMs aclanthology.org

    NAACL 2025 Findings paper detecting prompt injection by tracking attention distribution shifts, with no modification to the underlying model required, making it deployable as a wrapper on any LLM.

  4. AI/LLM Exploitation Challenges academy.8ksec.io

    AI, ML, and LLMs CTF Challenges.

  5. Detection Engineering Twitter List | Zack Allen x.com

    A Twitter list of Detection Engineering thought leaders.

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  6. Cloud Threat Landscape | Wiz threats.wiz.io

    A cloud detection engineering-focused database, that lists threat actors known to have compromised cloud environments, the tools and techniques in their arsenal, and the technologies they prefer to target.

  7. SOCLabs soc-labs.top

    A lab for blue teamers and detection engineers, with real threat data and support for popular SIEM query languages, enabling hands-on learning and practice in detection rule writing and threat hunting.

  8. Sigma rule converter sigconverter.io

    An opensource tool that can convert detection content for use with most SIEMs.

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  9. Open Cybersecurity Schema Framework (OCSF) schema.ocsf.io

    An opensource security data source and event schema.

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  10. Blue-team-as-Code - the Spiral of Joy | Den Iuzvyk, Oleg Kolesnikov sansorg.egnyte.com

    Blue-Team-as-Code: Lessons From Real-world Red Team Detection Automation Using Logs.

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  11. Detection Maturity Level (DML) Model | Ryan Stillions ryanstillions.blogspot.com

    Defines and describes 8 different levels of an organization's threat detection program maturity.

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  12. Rulehound rulehound.com

    An index of publicly available and open-source threat detection rulesets.

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  13. Detection at Scale Podcast | Jack Naglieri podcasts.apple.com

    A detection engineering-focused podcast featuring many thought leaders in the specialization.

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  14. ATT&CK Navigator | MITRE mitre-attack.github.io

    MITRE's open-source tool that can be used to track detection coverage, visibility, and other efforts and their relationship to the ATT&CK framework.

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  15. Prioritizing Detection Engineering | Ryan McGeehan medium.com

    A longtime detection engineer outlines how a detection engineering program should be built from the ground up.

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  16. Threat Detection Maturity Framework | Haider Dost of Snowflake medium.com

    A maturity matrix to measure the success of your threat detection program.

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  17. Detection Development Lifecycle | Haider Dost et al. medium.com

    Snowflake’s implementation of the Detection Development Lifecycle.

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  18. MITRE ATT&CK Data Sources Blog Post medium.com

    MITRE describes various data sources and how they relate to the TTPs found in the MITRE ATT&CK framework.

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  19. DETT&CT: MAPPING YOUR BLUE TEAM TO MITRE ATT&CK™ mbsecure.nl

    Outlines a methodology measuring security data visibility and detection coverage against the MITRE ATT&CK framework.

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  20. Windows Logging Cheatsheets malwarearchaeology.com

    Multiple cheatsheets outlined recommendations for Windows Event logging at various levels of granularity.

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  21. Living Off the Living Off the Land lolol.farm

    A collection of resources for thriving off the land.

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  22. Cyber Kill Chain | Lockheed Martin lockheedmartin.com

    Lockheed Martin's framework that outlines the 7 stages commonly observed in a cyber attack.

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  23. Microsoft XDR Advanced Hunting Schema learn.microsoft.com

    To help with multi-table queries, you can use the advanced hunting schema, which includes tables and columns with event information and details about devices, alerts, identities, and other entity types.

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  24. Azure Defender for Cloud Security Alerts learn.microsoft.com

    A list of all Azure Security for Cloud Alerts, their descriptions, and associated data sources.

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  25. InnerWarden innerwarden.com

    Autonomous security agent for Linux with real-time threat detection and response via 38 eBPF hooks, 48 detectors, and 23 correlation rules.

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  26. Detection Engineering AI Maturity Framework | Brendan Chamberlain infosecb.github.io

    A community framework with four maturity levels across ten dimensions for assessing how organizations apply AI and LLMs across a detection engineering program, from foundations through the detection lifecycle.

  27. Panther Labs Detection Rules github.com

    Panther Lab's native detection rules.

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  28. Open Threat Informed Detection Engineering aka OpenTide' github.com

    an all-in-one Detection Engineering Operations framework created and maintained by the European Commission to convert your CTI into an actionable detection coverage graph combining threat vectors with detection objectives, and manage your entire detection library from a central…

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  29. Linux auditd Detection Ruleset github.com

    Linux auditd ruleset that produces telemetry required for threat detection use cases.

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  30. Splunk ES Correlation Searches Best Practices | OpsTune github.com

    A highly detailed guide to producing high quality detection content in the Splunk Enterprise Security app.

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  31. Elastic Yara Signatures github.com

    Elastic's YARA signatures, which run on the Elastic endpoint agent.

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  32. Elastic Endpoint Behavioral Rules github.com

    Elastic's endpoint behavioral (prevention) rules written in EQL, natively for the Elastic endpoint agent.

  33. Elastic Endpoint Ransomware Artifact github.com

    Elastic's ransomware artifact, which runs on the Elastic endpoint agent.

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  34. 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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  35. Elastic's Detection Engineering Behavior Maturity Model elastic.co

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

  36. Elastic Common Schema elastic.co

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

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

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

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  38. 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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  39. AWS GuardDuty Findings docs.aws.amazon.com

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

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  40. 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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  41. Detection Engineering Field Manual | Zack Allen detectionengineering.net

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

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  42. Detection Engineering Weekly | Zack Allen detectionengineering.net

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

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  43. 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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  44. 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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  45. 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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  46. 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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  47. MITRE Cyber Analytics Repository (CAR) car.mitre.org

    MITRE's well-maintained repository of detection content.

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

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

  50. AttackRuleMap attackrulemap.com

    Mapping of open-source detection rules and atomic tests.

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