Hacking AI
83 articles
How to Spot AI Generated Faces — The Complete Visual Checklist | Deepfake Detection for Beginners — Day 2 of 7
How to spot AI generated faces — the complete visual checklist covering eyes, skin, hairline, ears, and lighting with two…
What Are Deepfakes? How AI Creates Fake Faces, Voices and Videos | Deepfake Detection for Beginners Day 1 of 7
What are deepfakes? I explain exactly how AI generates fake faces, clones voices, and creates synthetic videos — and why…
How to Build your first AI Agent — Step-by-Step for Absolute Beginners 2026 | AI Agent Course Day 5 of 5
How to build your first AI agent step by step — a complete beginner's guide to building, deploying, and security-hardening…
AI Privacy Attacks — PII Extraction and Re-Identification Guide | AI LLM Hacking Course Day 37 of 90
Master AI privacy attacks in 2026. PII extraction from LLMs, cross-session data leakage, re-identification via model outputs, GDPR implications and…
AI Agent Security Risks — How Agents Get Hacked and Cause Harm | AI Agents Course Day 4 of 5
AI agent security risks explained for beginners — prompt injection, privilege escalation, irreversible actions, and how to deploy agents safely.…
Advanced Agentic AI Security 2026 — Multi-Agent Attack Guide | AI LLM Hacking Course Day 36 of 90
Master advanced agentic AI security in 2026. Multi-agent trust boundaries, autonomous agent hijacking, agent-to-agent injection, orchestrator attacks and long-horizon task…
AI Recon: Fingerprint Any LLM App in 10 Minutes | Offensive AI Operator Day 2 of 30
AI recon done right — fingerprint the model, detect the framework, and read the system prompt's shape in 10 minutes.…
Real World AI Agents — What They Can Actually Do for You in 2026 | AI Agents Course Day 3 of 5
Real world AI agents explained — the five categories of agents deployed in 2026, what each does, how to evaluate…
AI Pentesting 2026: The Day Traditional Pentesting Stopped Working | Offensive AI Operator Course Day 1 of 30
AI pentesting in 2026 breaks the assumptions you rely on. See what changed and map an LLM app's real attack…