Your AI App Is Wide Open — LLM Attacks, Prompt Injection & How to Secure It (2026) скачать в хорошем качестве

Your AI App Is Wide Open — LLM Attacks, Prompt Injection & How to Secure It (2026)

⚠️ Your AI-powered app has a massive security hole — and most developers have no idea it's there. In this video, I break down the biggest LLM security risks in 2026 — including prompt injection attacks, data poisoning, insecure output handling, and exactly how attackers are exploiting AI applications right now. If you're a developer, security engineer, or AppSec professional working with AI tools — watch this before you ship your next feature. ⏱️ TIMESTAMPS 00:00 - Introduction 02:00 - What Makes AI Apps Different to Secure 05:00 - Prompt Injection Explained (With Real Examples) 10:00 - LLM Data Poisoning & Training Attacks 14:00 - Insecure Output Handling 18:00 - DevSecOps for AI Applications 23:00 - How to Defend Your AI App Right Now 26:00 - Key Takeaways 🔗 WATCH NEXT ▶ AI Is Now Hunting Bugs In Your Code →    • AI Is Now Hunting Bugs In Your Code — Shou...   ▶ Shadow AI Is Already Inside Your Organization →    • Видео   ▶ Every Cybersecurity Role Explained →    • $55K to $500K — Every Cybersecurity Job Ro...   📌 CONNECT WITH ME 🔗 LinkedIn:   / sheshanandak   #llmsecurity #promptinjection #applicationsecurity #appsec #aisecurity #cybersecurity2026 #devsecops #artificialintelligence #llm #cybersecurity