Deep Dive into LLM Security: Introduction

Hello everyone, let's start our first journey about LLM security! 😄

First of all, what is a journey? In our site, a journey is simply a series of articles on the same topic with the aim of providing the reader with a good level of knowledge on the matter.

Why are LLMs extremely vulnerable? Here are some key reasons why LLM security is important:

• Huge Datasets and User Interaction: LLMs are trained on vast datasets containing also sensitive information that could be potentially leaked by the model through specific prompts. On the other hand, when LLMs are used in applications like chatbots or virtual assistants, they could receive personal user data. Secure handling of this data is necessary to protect user privacy.
• Content Generation: LLMs were designed to generate content, such as text, images, audio, and video files. There are some attacks to manipulate their behaviour and induce them to generate harmful content (e.g., fake news, hate speech, and malware).
• Automation Capabilities: Autonomous agents in the context of LLMs refer to entities that operate independently to perform tasks, make decisions, and interact with their environment without continuous human intervention. These agents leverage the capabilities of LLMs to understand, generate, and respond to human language, allowing them to carry out complex tasks (e.g., booking a flight) in various domains. Skilled attackers could exploit some misconfigurations in the setup of these automated agents to perform bad actions.

In this journey, you will learn the following things:

• What OWASP Top 10 for LLMs and MITRE ATLAS are
• How To Hack an LLM with Adversarial Prompts
• The Difference between Prompt Injection and Jailbreak
• How To Automatically Scan LLMs to Identify Vulnerabilities
• How To Protect your LLM against the Most Common Security Threats

Do you want to suggest us other interesting journeys? Please share your opinion below and let’s build a supportive and informative community together! 🤝