In this episode of the Cybersecurity Awesomeness Podcast, Chris Steffen and Ken Buckler dissect Google’s recent discovery of the first clearly documented AI-assisted zero-day exploit. A threat actor utilised a Large Language Model (LLM) to develop a Python script designed to bypass two-factor authentication (2FA) on a widely used open-source system administration tool.

The hosts highlight the "smoking guns" that betrayed the AI’s involvement: an uncharacteristic abundance of educational docstrings, specific Python formatting typical of LLM training data, and a telltale hallucinated CVSS score. While this signals a productivity boost for adversaries, Chris and Ken offer a witty yet grounded take: AI doesn’t instantly transform a novice into a "development wizard." The technology often mirrors the operator’s technical gaps, leading to documented code that is "ripe for the picking" by defenders. Ultimately, the duo emphasises that while the toolkit has shifted, the solution remains anchored in fundamental cyber hygiene—rigorous patching, sceptical link-clicking, and a granular understanding of network dependencies.