We're discussing strategies and tools being developed to counter the growing risks posed by AI-driven threats, exploring concepts like honeypots, which are designed to lure attackers and gather intelligence, and zero-trust security models that eliminate reliance on traditional assumptions of trust. We also discussed the role of watermarking in identifying AI-generated content, the challenges of open-source models, and the need for stronger regulations to manage the risks of advanced AI systems.