TECTEC-001 — Integration Architecture Weaknesses
Chaotic Dynamics in Multi-Agent AI Systems Grow Harder to Predict at Scale
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Research confirms that chaotic, unpredictable behaviour becomes increasingly probable as the number of interacting AI agents grows. Organisations deploying multi-agent systems cannot assume stable or foreseeable outputs, undermining risk modelling and operational assurance.
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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