This podcast episode discusses using artificial intelligence (AI) to enhance cybersecurity. It focuses on running Large Language Models (LLMs) locally for improved security, pretraining AI models for threat detection and anomaly identification, and building AI-driven proof-of-concept security tools. Specific open-source LLMs like DeepSeek, Tulu-3, and Tongyi are highlighted for their applications in various security tasks. The episode emphasizes the benefits of AI in automating security workflows, improving response times, and reducing alert fatigue. Finally, it promotes building custom AI security tools using readily available technologies like Docker and Fast-LLM.