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1
Introduction
2
How I learn
3
Example
4
LLM Basics
5
Tokenization
6
Embedding
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Attention
8
Generation Phase
9
Patterns
10
LLM Architecture
11
LLM Types
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LLM Threats
13
Prompt Injection
14
Control vs Data Plane
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Cross Site Scripting
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Control Plane vs LLM
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Real Life Example
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AI Assistant Example
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AI Tokens
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LLM Firewall
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Dual LLMs
22
Chat LLMs
23
Prompt Vulnerability Dollars
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Risk of Prompt Injection
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Data Poisoning
26
Goal
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Obtaining Trusted Data Sources
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You Can Hijack Trusted Content
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Data Poisoning Example
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Data Poisoning Solutions
31
Data Leakage
Description:
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. Read more

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

Cloud Security Alliance
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