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depalmar/README.md

Raymond DePalma

Security Architect | AI/ML Security Specialist | DFIR Expert Creator of AI for the Win - Teaching security practitioners to build AI-powered tools

LinkedIn


About

13+ years architecting security solutions, responding to major incidents, and building detection capabilities. Experienced across endpoint, cloud, and enterprise security platforms at scale.

Specializing in AI-powered security automation, designing solutions that integrate LLMs, machine learning, and data science to accelerate threat detection, incident response, and threat hunting.

๐Ÿš€ Featured Project

50+ hands-on labs teaching security practitioners to build AI/ML tools for threat detection, DFIR, and incident response. From ML basics to production-ready detection systems.

What's included:

  • Docker environment with all dependencies
  • Google Colab notebooks for cloud execution
  • 18 CTF challenges for skill validation
  • Production-ready code examples

Stars Forks

Free for personal learning | Commercial licensing available for corporate training and bootcamps.

๐Ÿ› ๏ธ Tech Stack

AI/ML Python LangChain Anthropic Google ADK

Security Platforms Cortex XSIAM Cortex XDR Cortex XSOAR Splunk ES InsightConnect Microsoft Sentinel Chronicle CrowdStrike Elastic

Adversary Emulation MITRE Caldera AttackIQ SafeBreach

๐Ÿ“œ Certifications

GPEN GCIH

๐Ÿ’ก Current Focus

  • Multi-agent systems for automated incident response
  • LLM-powered threat hunting and detection engineering
  • Building open-source security tooling
  • Teaching practitioners to integrate AI into security operations

"ML scales detection, LLMs accelerate analysis, humans drive decisions."

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  1. ai_for_the_win ai_for_the_win Public

    Build AI-powered security tools. 50+ hands-on labs covering ML, LLMs, RAG, threat detection, DFIR, and red teaming. Includes Colab notebooks, Docker environment, and CTF challenges.

    Python 62 13