AI Red Team Lab Setup 2026: Build Your Range in One Hour | Offensive AI Operator Course Day 0 of 30

🤖 THE OFFENSIVE AI OPERATOR PREMIUM Part of the Offensive AI Operator — 30-Day Course Setup · Day 0 of 30 · range not yet built ⚠️ Authorised targets only. The range you build today exists so every attack in this course lands on infrastructure you own: local containers, locally hosted models, and your own budget-capped cloud account. Nothing here is ever pointed at someone else's systems. Building the lab correctly is the first act of doing this work legally.…

Read full article →

AI Security Automation 2026 — CI/CD LLM Security Testing Guide | AI LLM Hacking Course Day 35 of 90

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days AI Security Automation - Day 35 of 90 · 38.9% complete ⚠️ Authorised Targets Only: Automated security test suites send structured attack payloads to AI endpoints. Ensure test suites run only against authorised environments — dedicated test endpoints or staging deployments, never production systems. Coordinate with the development team before integrating automated security tests into a shared CI/CD pipeline. I once assessed a company that had…

Read full article →

How AI Agents Work — Memory, Tools, Planning and MCP Explained | AI Agents Course Day 2 of 5

🤖 AI AGENTS FOR BEGINNERS  FREE Course Hub → How AI Agents Work - Day 2 of 5  ·  40% complete I once watched an AI agent fail at a task it had completed perfectly just twenty minutes earlier. The goal was the same. The tools were the same. Even the model was the same. So what went wrong? The problem turned out to be surprisingly simple: the conversation had become so long that the agent's context window was filling…

Read full article →

How to Assess Multimodal AI Security in 2026 | AI LLM Hacking Course Day 34 of 90

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 34 of 90 · 37.8% complete ⚠️ Authorised Targets Only: Multimodal AI Security testing — including image injection, OCR bypass, and steganographic techniques — must be performed on authorised systems only. Some of these techniques generate images that contain injection text; handle all test artefacts within the engagement data handling agreement. The text-based injection wasn't working. I had already spent around twenty minutes testing the…

Read full article →

How to Identify LLM Denial of Service Vulnerabilities in 2026 | AI LLM Hacking Course Day 33 of 90

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 33 of 90 · 36.7% complete ⚠️ Authorised Targets Only: LLM Denial of Service testing can produce real financial impact — excessive API bills, degraded service, and in extreme cases, complete service outage. Always get explicit written approval for DoS testing before running any resource exhaustion or cost amplification tests. Many engagements exclude DoS testing entirely or restrict it to staging environments. A client called…

Read full article →

What Is an AI Agent? Turning Chatbots Into Autonomous Workers | Build AI Agents Day 1 of Day 5

🤖 BUILD AI AGENTS FOR BEGINNERS  FREE Course Hub → Day 1 of 5  ·  20% complete Three months ago I set an AI agent loose on a task that would have taken me two hours. I gave it one sentence: "Research the top five open-source AI agent frameworks, compare their security models, and produce a structured report." I came back forty minutes later to a seventeen-page document with source citations, a comparison table, and a section flagging one framework's…

Read full article →

Ship Production-Ready AI-Built Apps — Security Polish | Bug Free AI APP Development Day 5 of 5

🏗️ BUG-FREE AI APP DEVELOPMENT  FREE Course Hub → Day 5 of 5  ·  🎉 100% complete! There's a specific feeling that every developer knows: the moment when "it works on my machine" turns into "I'd actually show this to someone." That transition isn't about adding features. It's about the invisible work — the security review that catches the input that crashes the app, the performance check that stops the UI freezing on a hundred entries, the final audit that…

Read full article →

How to steal AI Models, their API and Codebase

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 32 of 90 · 35.6% complete ⚠️ Authorised Targets Only: AI Model stealing assessment — systematic API probing for input-output pair collection — must only be performed within authorised scope. Most bug bounty programs explicitly exclude model extraction testing. In assessment contexts, agree specific query volume limits and data handling procedures before beginning. A startup spent eighteen months and a team of six data scientists…

Read full article →

Debugging AI Code without Crying — 5-Step AI Debug Protocol | Bug Free AI APP Development Day 4 of 5

🏗️ BUG-FREE AI APP DEVELOPMENT  FREE Course Hub → Day 4 of 5  ·  80% complete The worst debugging AI Code session I ever watched lasted four hours for a bug that was a single missing await keyword. Four hours. Because the developer's debugging process was "change something, reload, see if it still breaks, change something else." No protocol. No systematic isolation. Just increasingly frustrated guesses until something accidentally worked. With AI coding, this failure mode gets worse before it…

Read full article →

AI Model Stealing in 2026 — API Probing, Functionality Cloning and IP Extraction | AI LLM Hacking Course Day 32 of 90

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 32 of 90 · 35.6% complete ⚠️ Authorised Targets Only: AI Model stealing assessment — systematic API probing for input-output pair collection — must only be performed within authorised scope. Most bug bounty programs explicitly exclude model extraction testing. In assessment contexts, agree specific query volume limits and data handling procedures before beginning. A startup spent eighteen months and a team of six data scientists…

Read full article →

How to Create Modular Code Patterns — Build Apps That Don’t Break | Bug Free AI APP Development Day 3 of 5

🏗️ BUG-FREE AI APP DEVELOPMENT  FREE Course Hub → Day 3 of 5  ·  60% complete Professional codebases feel different from normal one's. Professional code is modular. Each file does one thing. Each function does one thing. You can read any function in isolation and understand exactly what it does, what it needs, and what it returns — without reading anything else. This structure isn't an aesthetic choice. It's the property that makes code debuggable, testable, reusable, and maintainable. And…

Read full article →

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…

Read full article →

AI App Architecture Planning — Bug Free AI APP Development Day 2 of 5

🏗️ BUG-FREE AI APP DEVELOPMENT  FREE Course Hub → Day 2 of 5  ·  40% complete The most expensive mistake in AI-assisted development isn't a bad prompt. It's a great prompt for the wrong thing. I've watched people write beautifully structured prompts that produce perfectly clean code — code that later needs to be thrown away because it doesn't fit into the application they're building. The module works. The app doesn't. Because nobody designed the app before building the modules.…

Read full article →

Perfect Prompt Formula for AI Coding — Bug Free AI APP Development Day 1 of 5

🏗️ BUG-FREE AI APP DEVELOPMENT  FREE Course Hub → Day 1 of 5  ·  20% complete Last month I watched someone spend six hours trying to build a simple web app with AI. They typed things like "make me a login form" and "add a button that does the thing." Each prompt produced broken code. Each fix produced new bugs. By hour three they were rewriting the same function for the fifth time, confused about why the AI kept "forgetting"…

Read full article →

Secure AI Generated Code — Ship Confidently in 2026 | Mastering Coding with AI Day 5 of 5

💻 MASTERING CODING WITH AI  FREE Course Hub → Day 5 of 5  ·  🎉 100% complete! Here's a situation I've seen play out more times than I'd like: a non-technical founder uses AI to build a customer-facing tool in a weekend. The tool works. Users start signing up. Three months later, someone finds a simple SQL injection vulnerability that exposes every user's email address. The tool worked. The tool was not safe. The goal of Day 5 isn't to…

Read full article →