A single threat actor just used a coordinated fleet of AI agents to breach John Deere, SharkNinja, and Cummins simultaneously. The agents probed networks, pivoted across systems, and exfiltrated data autonomously. No human operator was directing them in real time. The attack moved across three separate enterprises faster than any human security team could respond. What makes this different from a standard breach is the multiplier effect. One attacker. Multiple targets. Parallel autonomous execution. The traditional assumption — that an attacker's bandwidth is the bottleneck — no longer holds when the attacker delegates to a fleet. Security tooling built around human-speed intrusion timelines is structurally mismatched to this threat model. An agent can probe, authenticate, and exfiltrate in the time it takes a SOC analyst to open a ticket. For those of you working in enterprise security or deploying AI agents in production: how are you thinking about identity and behavioral accountability for non-human actors operating in your environment? Curious what's actually being implemented versus what's still at the whiteboard stage.   submitted by   /u/No-Conclusion3720   to   r/OpenAIDev [link]   [comments]