This podcast collectively examine the burgeoning landscape of AI and Large Language Model (LLM) security risks and potential mitigations across various sectors, including healthcare, cybersecurity, and finance. They highlight novel threats such as prompt injection, data poisoning, model stealing, and hallucination exploitation, stemming from the increasing integration of AI agents and LLMs. The sources underscore the necessity for specialized security solutions, proactive threat modeling, robust data governance, and continuous monitoring to address these unique vulnerabilities. Furthermore, they discuss the application of AI and LLMs in enhancing security measures themselves, such as for threat intelligence, malware analysis, and automated response, while also emphasizing the importance of ethical considerations and responsible AI development