A recent security newsletter highlights several significant vulnerabilities and threats, including Russian hackers compromising hotel Wi-Fi networks to steal Microsoft 365 tokens. Adobe has also addressed a maximum-severity flaw in its Campaign Classic software. Meanwhile, South Korea has issued warnings about state-backed watering hole attacks, and Google has enhanced Chrome security by fixing 1,072 bugs using AI. Additionally, the potential of Large Language Models (LLMs) to identify code-level threats has been demonstrated, raising both possibilities and concerns. The development of LLMs, such as those by Microsoft, is reshaping the security landscape, introducing new capabilities and risks1. This matters to security practitioners because the evolving threat landscape, driven by advancements in AI and LLMs, demands constant vigilance and adaptation to mitigate emerging risks.