Saturday, September 12, 2026

How to Detect Voice Cloning — Real 2026 Full Guide | Deepfake Detection for Beginners — Day 4 of 7

🎭 DEEPFAKE DETECTION FOR BEGINNERS  FREE Course Hub → Day 4 of 7  ·  57% complete ⚠ Legal Notice — Defensive Awareness Only The techniques below explain how voice cloning works so you can defend against it. Do not clone anyone's voice without their explicit written consent. Voice fraud is a serious criminal offence under BEC (Business Email Compromise) laws in most jurisdictions. If you're the target of a voice clone attack, contact your bank immediately, report to your national…

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How to Respond to an AI Incident in 2026 | AI LLM Hacking Course Day 40 of 90

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 40 of 90 · 44.4% complete ⚠️ How I Approach AI Incident Response: In this lesson, I’m going to show you how I approach AI security incidents from a defensive perspective — how I detect an attack, contain the damage, preserve the evidence, and work toward recovery. Everything I demonstrate is intended for systems I own or have explicit permission to protect. If you’re investigating…

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Thursday, September 10, 2026

How to Assess AI Governance and Compliance in 2026 | AI LLM Hacking Course Day 39 of 90

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days Day 39 of 90 · 43.3% complete ⚠️ Authorised Scope: When I run an AI governance assessment, I’m not just testing the technology. I may need to review internal policies, risk registers, model documentation, and other governance records to understand how the organisation actually manages AI risk. Before I start, I always make sure the engagement scope explicitly gives me permission to access and review these…

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Wednesday, September 9, 2026

How to Spot Deepfake Video — Real Complete 2026 Guide | Deepfake Detection for Beginners Day 3 of 7

🎭 DEEPFAKE DETECTION FOR BEGINNERS  FREE Course Hub → Day 3 of 7  ·  43% complete Let me show you something that changes the way you watch a suspicious video. Imagine you’re watching a politician speak. The face looks right. The voice sounds right. The expressions feel natural. If you only look at the face, you might never suspect anything. But now pause the video. Look at the picture frame behind them. Look at the edge of their hair. Watch…

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Saturday, September 5, 2026

How to Assess LLM Fine Tuning Security in 2026 – Dataset Poisoning, Training Attacks and Fine-Tune Vulnerabilities | AI LLM Hacking Course Day 38 of 90

🤖 AI/LLM HACKING COURSE FREE Part of the AI/LLM Hacking Course — 90 Days LLM Fine Tuning Security - Day 38 of 90 · 42.2% complete ⚠️ Authorised Targets Only: Before you assess an LLM fine-tuning pipeline, make sure you have explicit permission to access the training datasets and model infrastructure. These systems can contain sensitive business information, customer data, or proprietary material. Follow the organisation’s data-handling requirements and make sure the right agreements are in place before you begin…

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How to Spot AI Generated Faces — The Complete Visual Checklist | Deepfake Detection for Beginners — Day 2 of 7

🎭 DEEPFAKE DETECTION FOR BEGINNERS  FREE Course Hub → Day 2 of 7  ·  28% complete Let me start with a story that changed the way I look at profile photos. Earlier in 2026, a hiring manager was reviewing around 200 LinkedIn applications for an engineering role. Forty-three of the profile photos were AI-generated. The interesting part? She didn't catch them herself. A junior HR team member noticed something unusual after about an hour of screening. It wasn't the eyes.…

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Friday, September 4, 2026

What Are Deepfakes? How AI Creates Fake Faces, Voices and Videos | Deepfake Detection for Beginners Day 1 of 7

🎭 DEEPFAKE DETECTION FOR BEGINNERS  FREE Course Hub → Day 1 of 7  ·  14% complete Let me start with a situation that sounds like something from a movie, because I want you to understand just how real this problem has become. In February 2024, a finance employee in Hong Kong joined a video call with what appeared to be his CFO. He knew the face. He recognised the voice. Even the mannerisms looked right. Then the "CFO" asked him…

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