Udemy - Generative AI Security Masterclass - Risks, Threats and Defense

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Udemy - Generative AI Security Masterclass - Risks, Threats and Defense (Size: 909.9 MB)
  1 -Introduction.mp4 38.4 MB
  1 -Securing Generative AI - From Governance to Technical Controls.mp4 40.3 MB
  1 -Understanding the Threat Landscape.mp4 50.2 MB
  10 -Understanding Server-Side Request Forgery (SSRF).mp4 44.1 MB
  11 -Denial of Service Attacks in Generative AI.mp4 51.3 MB
  12 -Data Poisoning in Generative AI.mp4 40 MB
  13 -Understanding Model Bias in Generative AI.mp4 34.4 MB
  14 -Copyright Challenges in Generative AI.mp4 29 MB
  2 -Data Provacy and Confidentiality - The First Line of Risk.mp4 40.8 MB
  2 -Introduction to Generative AI.mp4 40.7 MB
  2 -Seeing the Threats Clearly Real-Word Risk Mapping for Generative AI.mp4 46.9 MB
  3 -Mastering Google's Secure AI Framework (SAIF).mp4 92.2 MB
  3 -Provider Data Breaches - When the risk Is Out of Your Hands.mp4 44.6 MB
  3 -Understanding Large Language Models (LLMs).mp4 39.4 MB
  4 -Congratulations !.mp4 20.7 MB
  4 -Threat Actor Evolution - When Generative AI becomes a Weapon.mp4 38.6 MB
  5 -Unveiling Data Leakage Risks in Generative AI.mp4 55.9 MB
  6 -Prompt Injection Attacks - The Emerging Threat in General AI.mp4 50.6 MB
  7 -Introduction to Indirect Prompt Injections.mp4 38.6 MB
  8 -Inadequate Sandboxing - A Hidden AI Security Risk.mp4 32.1 MB
  9 -Understand Hallucinations in Generative AI.mp4 41.1 MB
  Bonus Resources.txt 102.4 B
  Get Bonus Downloads Here.url 204.8 B
  ▲ 23 total files

Description


Generative AI Security Masterclass: Risks, Threats & Defense

https://WebToolTip.com

Published 4/2025
Created by Learning Curve
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: Expert | Genre: eLearning | Language: English | Duration: 21 Lectures ( 2h 5m ) | Size: 909 MB

Secure Generative AI Before It Breaks You — Master Risks, Defenses, and Real-World Protection

What you'll learn
The fundamentals of generative AI and Large Language Models (LLMs)
The top security threats: data leakage, prompt injection, deepfakes, hallucinations
How to perform AI threat modeling using STRIDE and DREAD
Key differences between public and private LLMs — and when to use each
How to create and implement an AI security policy
Hands-on strategies to defend against AI misuse and insider risk
Practical examples of real-world incidents and how to prevent them

Requirements
A basic understanding of AI or cybersecurity concepts
No coding experience required
Curiosity and commitment to building secure AI systems

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