⚠️ Authorised Research Only: GPT-4 and GPT-4o are OpenAI products tested under the OpenAI HackerOne bug bounty programme or in local research environments. Attack techniques documented here are for authorised security research only. Never apply these to production systems without explicit written authorisation. GPT-4 is the most-tested AI model in the history of security research. Since its release in March 2023, thousands of researchers — from academic labs to individual bug hunters — have probed it systematically for vulnerabilities. What…
SecurityElites Cyber Academy
Learn Ethical Hacking, Bug Bounty, and Cybersecurity with step-by-step tutorials, Kali Linux tools, and real-world examples.
Tuesday, June 2, 2026
How to Test for LLM Authentication Bypass — Complete Attack Guide | Day 21
🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 21 of 90 · 23.3% complete ⚠️ Authorised Targets Only: Authentication bypass testing — including removing credentials from requests, substituting user identifiers, and testing JWT variants — must only be performed against systems within your authorised scope. Stop immediately if you inadvertently access real user data and follow the engagement's responsible disclosure protocol. The pattern behind most LLM authentication bypasses I've encountered. Not architectural negligence…
How to Hack ChatGPT — The Ethical Security Research Guide for 2026
⚠️ Critical Legal Notice: Testing ChatGPT, the OpenAI API, or any OpenAI product without explicit written authorisation violates OpenAI's Terms of Service and potentially computer fraud laws in your jurisdiction. The ONLY authorised path to researching ChatGPT security is through OpenAI's official bug bounty programme on HackerOne. This guide covers the methodology for authorised research only. All exercises use local models or authorised practice platforms — never ChatGPT directly unless you have active HackerOne scope authorisation. The most-searched phrase in…
Monday, June 1, 2026
ChatGPT Security Vulnerabilities — What Ethical Hackers Found in 2026
⚠️ Responsible Disclosure: All vulnerabilities described here were reported through authorised channels — OpenAI's bug bounty programme on HackerOne — or are publicly disclosed findings from credited researchers. Never test production AI systems without written authorisation. OpenAI's Terms of Service explicitly prohibit unauthorised security testing of their API and products. ChatGPT has 200 million weekly active users. Every one of them is interacting with a system that, until researchers started testing it seriously, had never been through a rigorous adversarial…
Best AI Cybersecurity Certifications in 2026 — Ranked by What Employers Actually Want
⚠️ Career Information: Certification information and employer requirement data reflects market research as of early 2026. Certification programmes change their curricula, pricing, and recognition regularly. Verify current programme details directly with certification bodies before enrolling. The most common question I get from people entering AI security is "which certification should I get?" My honest answer disappoints some people: in most cases, none of them — yet. Build the portfolio first, get the cert second if you need it for a…
Friday, May 29, 2026
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…
AI Red Team vs Traditional Red Team — The Key Differences Nobody Explains
⚠️ Professional Context: All techniques and methodology discussed here apply to authorised security engagements only. Both traditional red teaming and AI red teaming require explicit written permission from asset owners before any testing begins. I've run traditional penetration tests and I've run AI red team assessments. When I describe my AI red team work to traditional security colleagues, the reaction I get most often is "oh, so basically prompt injection — same deal as web app testing, right?" It's never…