Early Detection of Distributed Backdoors in Multi-Agent LLM Systems: A Characterization Study

Multi-agent LLM systems can be attacked by a payload that no single agent ever holds in full: a poisoned tool hides encrypted fragments in its observations, spreads them across several agents, and an external step reassembles and executes them after the run. Per-step safety checks that judge each...

Incident response for AI: Same fire, different fuel

In this article 1. The fundamentals still hold 2. Where AI changes the equation 3. Closing the gaps in telemetry, tooling, and response 4. The human dimension 5. Looking ahead When a traditional security incident hits, responders replay what happened. They trace a known code path, find the defect...