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YouTube

Demystifying LLMs and Their Security Implications - A Business-Friendly Overview

Cloud Security Alliance via YouTube

Overview

Explore the world of Large Language Models (LLMs) and their security implications in this comprehensive 1-hour 7-minute seminar from Cloud Security Alliance. Gain a business-friendly overview of General AI and LLMs, focusing on practical security risks and implications rather than futuristic applications. Delve into the fundamental principles of LLMs, including tokenization, embedding, attention, and generation phases. Examine various LLM deployment scenarios, such as Public LLMs, Private LLMs, and LLMs as a service. Learn about potential LLM abuse by malicious agents and understand the risks associated with uncontrolled disclosure of Personally Identifiable Information (PII). Discover common threats like prompt injection, cross-site scripting, and data poisoning, along with practical strategies to mitigate these risks. Gain insights into LLM architecture, types, and real-life examples of AI assistants and tokens. Explore concepts like LLM firewalls, dual LLMs, and chat LLMs. Understand the importance of obtaining trusted data sources and solutions for data poisoning and leakage. Walk away with actionable knowledge to navigate the complex landscape of LLMs and their security implications in everyday business operations.

Syllabus

Introduction
How I learn
Example
LLM Basics
Tokenization
Embedding
Attention
Generation Phase
Patterns
LLM Architecture
LLM Types
LLM Threats
Prompt Injection
Control vs Data Plane
Cross Site Scripting
Control Plane vs LLM
Real Life Example
AI Assistant Example
AI Tokens
LLM Firewall
Dual LLMs
Chat LLMs
Prompt Vulnerability Dollars
Risk of Prompt Injection
Data Poisoning
Goal
Obtaining Trusted Data Sources
You Can Hijack Trusted Content
Data Poisoning Example
Data Poisoning Solutions
Data Leakage

Taught by

Cloud Security Alliance

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