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Training

Hands-on security training materials by KK Mookhey. One folder per training; each training breaks into modules with slides, code, and demos.

Philosophy: hands-on and demo-first. Slides are light signposts — the code and live demos carry the teaching.

Trainings

Training When Description
Adversarial AI — Red Teaming the AI Supply Chain Black Hat USA, Aug 2026 2-day course: attacking and defending the LLM supply chain — model → RAG → agents → MCP → multi-agent → production.

How this repo is organized

<training-name>/
├── README.md          # overview, schedule, prereqs
├── prereqs/           # what participants install/bring before day 1
└── M<n>-<topic>/
    ├── README.md      # objectives, run-of-show, further reading
    ├── slides/        # <module>.md (source) + <module>.pptx (rendered)
    └── code/          # runnable demos and exploits

_templates/ holds reusable scaffolding (slide house-style brief, module README skeleton).

Curated reading

Links and further reading live in Basecamp — a curated map of the AI + cybersecurity intersection. Modules point into Basecamp topics rather than duplicating link lists.

About

Code and prompts used in the AI & Cybersecurity training course on YouTube

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