Langfuse provides a comprehensive framework for monitoring and enhancing the security of applications based on large language models (LLMs). It integrates with various open-source security libraries, such as LLM Guard and Prompt Armor, to implement real-time security measures like redacting sensitive personal information before inputting data into LLMs and evaluating content for potential risks. Langfuse supports asynchronous monitoring and evaluation by tracing each stage of the security process, allowing users to assess the effectiveness of their security measures and address prevalent risks. The platform offers tools to track latency and balance trade-offs, facilitating detailed analysis through its dashboard to ensure applications meet privacy standards like HIPAA or GDPR. By enabling teams to instrument LLM calls and trace security mechanisms, Langfuse helps maintain the quality and safety of LLM-based applications while ensuring compliance with data protection regulations.