TECTEC-001 — Integration Architecture Weaknesses
Multi-Agent AI Systems Produce Unstable Cyclic Behaviour Under Standard Learning Rules
4/5Sector: GovernmentGeography: GlobalStage: OperateIngested: —
Executive Summary
When multiple AI agents interact, standard learning algorithms proven stable in isolation can generate non-convergent cycles and unpredictable system trajectories. Governments deploying multi-agent AI in critical services cannot rely on single-agent safety assurances, requiring new oversight frameworks.
Domain
Technical Implementation
Blindspots in integration architecture, deployment, performance, data pipelines, security architecture, and maintenance.
Source
MIT AI Risk Repository — Multi-Agent Risks from Advanced AI (Hammond2025) ↗https://airisk.mit.edu/
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