This podcast explore the burgeoning field of LLM firewalls as a critical security measure for applications utilizing large language models. These sources highlight the unique risks associated with LLMs, such as prompt injection, data leakage, and model abuse, which traditional firewalls are ill-equipped to handle due to the integrated nature of data and operations within LLMs. Several companies, including Securiti AI, Nightfall AI, Javelin AI, and Raga AI, are developing specialized LLM firewalls that function as intermediaries to inspect and filter prompts, retrieved data, and generated responses based on defined security policies. While essential for mitigating risks, some sources suggest that LLM firewalls are not a complete security solution and should be complemented by broader governance frameworks and continuous monitoring throughout the AI lifecycle.