Your AI application might look intelligent and secure, but one overlooked vulnerability could expose sensitive data, compromise connected tools, or put your entire system at risk.

In Video 29 of The Techzeen's AI Driven Cyber Security Complete Course 2026, I explain the OWASP GenAI LLM Top 10 (2026 Edition) and ten major security risks every AI developer should understand.

WHAT YOU WILL LEARN
* Prompt Injection
* Sensitive Information Disclosure
* Excessive Agency
* Supply Chain
* Data and Model Poisoning
* Unbounded Consumption
* Misinformation
* Hidden Context Exposure
* Vector and Embedding Weaknesses
* Improper Output Handling

You'll also learn why these risks matter and how developers can make AI applications safer.

PHASE 4: Securing AI Systems (LLM Security)

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CONNECT & LEARN
Website:
https://www.thetechzeen.com/

Full AI-Driven Cyber Security Playlist:
https://www.youtube.com/playlist?list=PLMnWzLCjYQQk

Lecture Notes:
https://github.com/farzeen-ali/AI-Driven-Cyber-Security

Cyber Security WhatsApp Community:
https://whatsapp.com/channel/0029VbCpEz6JkK75tDMYj43M

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