LLM Hacking
128 articles
How to Test LLM Data Exfiltration Vulnerabilities in 2026 | AI LLM Hacking Course Day 31 of 90
Master LLM data exfiltration in 2026. Covert output channels, URL-based exfiltration, embedding leakage, membership inference attacks and training data extraction.…
AI App Architecture Planning — Bug Free AI APP Development Day 2 of 5
Master AI app architecture planning before prompting Claude produces bug-free code. The spec-to-module system, file structure templates, and SecureVault blueprint.…
Perfect Prompt Formula for AI Coding — Bug Free AI APP Development Day 1 of 5
The Perfect Prompt Formula for AI Coding - exact 7-component prompt formula that gets Claude Opus 4.8 to write bug-free,…
Build a Real Tool With AI Coding — Complete Project Day | Mastering Coding with AI Day 4 of 5
Build a real tool with AI coding — full project day with security tool, deployment on Replit or GitHub Pages,…
AI Bug Bounty 2026 — Finding, Reporting and Getting Paid for AI Vulnerabilities | AI LLM Hacking Course Day 30 of 90
Master AI bug bounty hunting in 2026. Which platforms accept AI bugs, how to scope LLM vulnerabilities, writing winning reports…
How to Assess Enterprise AI Security — LangChain and Gateway Attack Guide | AI LLM Hacking Course Day 29 of 90
Master enterprise AI security in 2026. LangChain security vulnerabilities, LlamaIndex attack surface, AI gateway bypass, multi-model orchestration attacks and scale-specific…
Prompting AI for Code — How to Get Working Code Every Time | Mastering Coding with AI Day 2 of 5
Prompting AI for code that actually works — context, task, language, format stack explained. Get working code every time without…
How to Think About Code — AI Coding Beginner | Mastering Coding with AI Day 1 of 5
How to think about code as a complete beginner — the input-process-output mental model that makes AI coding assistants actually…