Large Language Models (LLMs) like OpenAI's GPT-3 and GPT-4 have transformed technology interactions but pose significant cybersecurity challenges. To address these issues, a variety of tools have been developed to secure LLM applications, focusing on mitigating risks such as unauthorized access, model exploitation, and data leakage. Among these tools are Lakera Guard, WhyLabs LLM Security, and Lasso Security, each offering unique features like prompt injection protection, data loss prevention, and threat modeling. These tools are part of a broader effort to enhance the security of LLMs by incorporating comprehensive assessments, monitoring capabilities, and proactive threat identification. As threats continue to evolve, the role of these tools in providing robust security measures becomes increasingly crucial, ensuring that LLMs can be deployed safely and effectively across various applications. The ongoing development and adaptation of security tools reflect the need for flexible and forward-looking solutions to safeguard against the expanding landscape of cybersecurity threats associated with LLMs.