When AI Models Vote on the Attack | Ep 20

The Threat Intelligence Podcast · Oct 15, 2026 · 26m

One AI model can be rate-limited, blocked, or refuse to cooperate. So what if the attacker uses four?

Rachel James and Dr. Bryan Nakayama break down Cisco Talos's research on malware where multiple LLMs vote on the next attack step, acting as a tactical command-and-control panel.

Then we turn to Anthropic's analysis of GLM 5.3, an open-weight model that sits only a couple of percentage points behind a safeguards-disabled Mythos Preview on automated exploit development. With the guardrails removed, refusals vanish, and the labs that used to spot misuse can't see what runs on someone else's…