Nexusguard · Formal Specification

Research Note: Formal Specification Multi-Agent LLM Systems Autonomously Detect and Mitigate Threats in Kubernetes A personal research exploration of whether a small team of specialized AI agents — detection, planning, and independent verification — can carry out a security response safely, with a human always holding the final say on anything risky. This note gives the idea a formal shape so the reasoning behind it is explicit, not just descriptive. Abstract This note formalizes NexusGuard, a research idea exploring multi-agent LLM systems for autonomous threat detection and mitigation in Kubernetes environments. The system is modeled as a small set of state spaces and three cooperating agents — a Blue Team (detection), an Orchestrator (mitigation planning), and a Red Team (independent verification) — mediated by a human approval gate. I define a threat-scoring model, a risk-tiered human-approval rule, and a bounded-retry verification rule, and walk through an illustrative worked example of how the scoring model behaves. The goal is not to claim a production system, but to make the reasoning behind the design explicit and checkable.