Prompt injection detection for Large Language Models (LLMs) is a crucial task to ensure safe and reliable AI interactions. This talk focuses on utilizing Natural Language Processing (NLP) techniques to identify malicious or unintended prompt manipulations that could lead to harmful outputs. By leveraging advanced text analysis and pattern recognition, we aim to enhance LLM security and safeguard against prompt injection attacks.