Dark LLMs: When Your AI Traffic Is C2
Dark LLMs are writing per-host pwsh one-liners, self-rewriting droppers, and hiding in model APIs you approved. If you’re not policing AI egress, you’re not doing detection. 😬🤖
Dark LLMs are writing per-host pwsh one-liners, self-rewriting droppers, and hiding in model APIs you approved. If you’re not policing AI egress, you’re not doing detection. 😬🤖
AI just ran most of an espionage op, and regulators are still in “interesting case study” mode. 😏
We’re forecasting: 55% odds that by 2026, someone will force signed AI connectors + agent logs by default.
Anthropic just showed what happens when your “helpful” AI agents become C2: 80–90% of an espionage op automated, humans just clicking approve.
Lock down identity + connectors or you’re renting your SaaS to someone else’s botnet. 🤖🚨
Attackers are rapidly shifting to modular, cloud-integrated C2 frameworks—Sliver, Havoc, Mythic, Brute Ratel C4, and Cobalt Strike—blurring lines between APT and cybercrime. These tools’ stealth, automation, and cloud API abuse are outpacing legacy detection, demanding urgent defensive adaptation.