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depalmar/README.md

Raymond DePalma

Principal DFIR Technical Architect at Unit 42 by Palo Alto Networks
Building AI-powered solutions for incident response and threat hunting

LinkedIn


About

13+ years responding to major incidents, architecting security solutions, and building detection capabilities at Palo Alto Networks, Rapid7, Liberty Mutual, IBM, and MIT Lincoln Laboratory.

Currently on Unit 42's DFIR Innovation Team, designing scalable solutions that integrate LLMs, automation, and data science to accelerate investigations across cloud, endpoint, and enterprise environments.

๐Ÿš€ Featured Project

50+ hands-on labs teaching security practitioners to build AI/ML tools for threat detection, DFIR, and incident response. Includes Docker environment, Colab notebooks, and CTF challenges.

Stars Forks

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 analysis
  • XQL query optimization and detection engineering
  • Practitioner enablement and open-source tooling

"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 54 13