Awesome LLM Agent Security

A curated list of resources about LLM agent security, vulnerabilities, attacks, and their applications in cybersecurity.

📚 Contents

🔍 Research	🎯 Threat Model	🛠️ Build Agent	📊 Results	💼 Solutions
Papers & Publications	Threats & Vulnerabilities	Development Guides for cybersecurity	Successful cases	Tools Overview

🔰 Fundamentals

Basic Concepts

LLM Agent - is an intelligent system used by a large language model to perform tasks.

[!NOTE] **MultiAgent**: When there is an ensemble of many agents that perform one large task - this is called a multi-agent system. It is based on a large language model that is responsible for task planning and decision making.

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Memory

Memory in autonomous agents can be categorized into two main types:

• Short-Term Memory: This refers to the agent's ability to utilize in-context learning, where it retains information temporarily during a single interaction. This is often limited by the model's context window, which restricts the amount of information it can process at once.

• Long-Term Memory: This allows the agent to store and recall information over extended periods. Long-term memory is typically managed through external vector stores, enabling the agent to retrieve relevant information quickly. This capability is crucial for tasks that require knowledge accumulation and recall over time.

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