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depalmar/README.md

Raymond DePalma

Principal DFIR Technical Architect at Unit 42 (Palo Alto Networks)
Threat Intelligence • DFIR • Detection Engineering • Applied AI for Security

13+ years across incident response, threat hunting, intrusion analysis, and detection engineering—from holding a DoD Top Secret clearance at MIT Lincoln Laboratory to leading critical breach and zero-day investigations at Unit 42. I build production Python tooling, data pipelines, and multi-agent/LLM systems that turn raw telemetry into attributed intelligence.


🛠️ Core Toolbox

  • Languages & Frameworks: Python, XQL, SQL, Google ADK, LangChain/LangGraph
  • Detection & Analytics: Sigma, YARA, Suricata, SIEM/XDR Query Languages
  • AI & LLM Security: MCP (Model Context Protocol), OWASP LLM Top 10, MITRE ATLAS

🛡️ What I Work On

  • Adversary Tracking: Investigating nation-state and advanced criminal infrastructure (APT, ransomware/RaaS, DPRK insider threat operations, and zero-day exploitation).
  • Threat Intel Automation: Architecting data pipelines and autonomous AI agents to accelerate collection, enrichment, and triaging.
  • Defending AI Infrastructure: Developing practical, production-grade detection rulesets to secure LLM applications and model supply chains.

🚀 Open Source Projects

  • 🌟 ai_for_the_win - An open-source training program featuring 50+ hands-on labs and CTF challenges covering ML, LLMs, RAG, threat detection, DFIR, and red teaming.
  • 🤖 AI-Powered-Ransomware-Intelligence-Agent - An automated n8n + Claude pipeline designed to ingest leak-site data and convert it into structured, MITRE ATT&CK-mapped cyber threat intelligence.
  • 🧰 ai-dfir-toolkit - A vendor-neutral repository of Sigma, YARA, and Suricata rules deployed to detect prompt injection, model supply-chain vulnerabilities, and attacks targeting AI infrastructure.

🎙️ Speaking & Community

  • SANS "Stay Ahead of Ransomware" Series | Featured Speaker alongside Ryan Chapman and Mari DeGrazia
    • "The AI Arms Race: When Both Sides Have Copilots"
    • "Building an AI-Powered Ransomware Intelligence Agent"

🔗 Connect With Me

  • LinkedIn Profile
  • DM me to collaborate on securing frontier models, automating DFIR workflows, or swapping notes on adversary infrastructure analysis.

Pinned Loading

  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 149 23

  2. AI-Powered-Ransomware-Intelligence-Agent AI-Powered-Ransomware-Intelligence-Agent Public

    Automated n8n workflow for ransomware threat monitoring using ransomware.live API and Claude AI — companion to the SANS Ransomware Intelligence webinar

    Python 22

  3. ai-dfir-toolkit ai-dfir-toolkit Public

    A vendor-neutral collection of Sigma, YARA, and Suricata rules for detecting compromise of LLM applications, MCP servers, ML supply chains, AI infrastructure, AI-powered insider threats, and RAG/ve…

    YARA 14 1