AI Security Awareness
73 articles
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…
AI Red Team Lab Setup 2026: Build Your Range in One Hour | Offensive AI Operator Course Day 0 of 30
Build a pinned AI red team lab in one hour — Kali, Docker, Ollama, a vulnerable LLM app, and a…
AI Security Automation 2026 — CI/CD LLM Security Testing Guide | AI LLM Hacking Course Day 35 of 90
Master AI security automation in 2026. Build CI/CD integrated LLM security test suites, automated injection scanners, regression testing pipelines and…
How AI Agents Work — Memory, Tools, Planning and MCP Explained | AI Agents Course Day 2 of 5
How AI agents work — memory types, tool use, planning strategies, and the Model Context Protocol explained for beginners. Day…
How to Assess Multimodal AI Security in 2026 | AI LLM Hacking Course Day 34 of 90
Master multimodal AI security in 2026. Image prompt injection, visual jailbreaks, OCR-based injection, PDF attack surfaces and vision model security…
What Is an AI Agent? Turning Chatbots Into Autonomous Workers | Build AI Agents Day 1 of Day 5
What is an AI agent? I explain the real difference between a chatbot and an autonomous agent — the loop,…
Ship Production-Ready AI-Built Apps — Security Polish | Bug Free AI APP Development Day 5 of 5
Ship production-ready AI-built Apps with Claude Opus 4.8 — token efficiency prompts, OWASP security audit template, performance review, SecureVault complete.…
AI Model Stealing in 2026 — API Probing, Functionality Cloning and IP Extraction | AI LLM Hacking Course Day 32 of 90
Master AI model stealing in 2026. API probing to clone model functionality, embedding extraction, model distillation attacks, IP theft assessment…
How to Test LLM Data Exfiltration Vulnerabilities in 2026 | AI LLM Hacking Course Day 31 of 90
Master LLM data exfiltration in 2026. Covert output channels, URL-based exfiltration, embedding leakage, membership inference attacks and training data extraction.…