How to Test LLM Data Exfiltration Vulnerabilities in 2026 | AI LLM Hacking Course Day 31 of 90

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 31 of 90 · 34.4% complete ⚠️ Authorised Targets Only: LLM Data exfiltration testing — including URL callback attacks, embedding extraction, and membership inference — must be performed only on authorised systems. Membership inference testing against production models may surface real individuals' private data as a side effect of the test; agree data handling procedures with the client before beginning. A healthcare AI deployment I…

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Prompt Defence and Hardening — Building LLMs That Can’t Be Broken (2026) | Prompt Engineering Final Part

🧠 PROMPT ENGINEERING & REVERSE PROMPTING  FREE Course Hub → Day 7 of 7  ·  🎉 100% complete Six days ago you understood that an LLM processes tokens through a context window. Now you understand how to engineer prompts that reliably shape model output, how to extract hidden system prompts through systematic probing, how to execute direct and indirect injection attacks, and how to build a behaviour map that prioritises attack vectors by impact. That's a complete offensive and engineering…

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How to do LLM Behaviour Mapping — Reverse Engineering AI System Design | Prompt Engineering Part 6

🧠 PROMPT ENGINEERING & REVERSE PROMPTING  FREE Course Hub → Day 6 of 7  ·  85% complete The first thing I do in an LLM security assessment isn't injection testing. It isn't system prompt extraction. It's behaviour mapping. I spend the first session understanding exactly what I'm dealing with — what the model can do, what it can't, how it responds to different input types, whether it has tools, what base model it runs on, and where its constraint boundaries…

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Reverse Prompting — How to Extract Hidden System Prompts | Prompt Engineering Part 5

🧠 PROMPT ENGINEERING & REVERSE PROMPTING  FREE Course Hub → Day 5 of 7  ·  71% complete ⚠️ Authorised Use Only. Reverse prompting techniques are used in authorised AI security assessments. Test on your own deployments, in exercises you've been asked to complete, or on systems where you have explicit written permission. Do not use extraction techniques against third-party production systems without authorisation. When I start an LLM security assessment, the first thing I want to know is what the…

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LLM Hacking Tutorial — How Security Researchers Break Language Models (2026)

⚠️ Authorised Testing Only: Every technique in this tutorial applies to authorised targets only — your own local models, dedicated practice platforms (Gandalf, HackAPrompt), or systems where you have written authorisation. Running these techniques against systems you don't own is illegal. This is a professional security research tutorial, not an attack guide. The first time I ran a proper LLM security assessment, I used no methodology at all. I just started sending prompts and hoping something interesting happened. Three hours…

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What Is AI Jailbreaking? How People Break AI Safety Rules

Every major AI assistant has safety guidelines — rules about what it will and will not help with. Jailbreaking is the practice of crafting prompts that convince an AI to ignore those rules. It does not require technical skills, just creative prompt writing. The AI does not get "hacked" in any traditional software sense — it is persuaded through text alone. Here is exactly how it works, why AI companies take it seriously, what the documented techniques look like at…

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AI LLM Hacking Course Day 1 – The AI Security Landscape 2026 — Why Every Ethical Hacker Needs to Learn LLM Hacking Now

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 1 of 90 · 1% complete ⚠️ Legal Disclaimer: AI security testing without written authorisation is illegal under the Computer Fraud and Abuse Act, Computer Misuse Act, and equivalent legislation worldwide. Every technique in this course targets authorised systems only — your own API keys, official bug bounty programmes with explicit AI scope, and local model installations. SecurityElites.com accepts no liability for misuse of any…

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