In today's rapidly evolving AI landscape, applications powered by large language models (LLMs) are becoming increasingly common, but they also introduce new vulnerabilities that can be exploited. As AI-driven systems interact with users, they are susceptible to issues like **prompt injection** and **jailbreaking**, where malicious actors manipulate the model to behave in unintended ways. Understanding these vulnerabilities is crucial for anyone developing or managing LLM-powered applications, especially at the enterprise level.

In this project, you'll dive into how **guardrails** can be used to protect LLM applications, ensuring that the AI behaves as intended, even under challenging scenarios. By the end of this guided project, you'll have the knowledge and practical skills to identify potential vulnerabilities in LLM systems and apply strategies to safeguard them.

With everything pre-installed in the IBM Skills Network Labs environment, you'll have all the tools you need to complete this project without hassle. All you need is access to a current browser such as Chrome, Edge, Firefox, or Safari.