TECTEC-001 — Integration Architecture Weaknesses
Network Effects Cause Unpredictable Behaviour Shifts in Multi-Agent AI Systems
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Small changes to individual agent properties or connections can trigger disproportionate, system-wide behavioural shifts in AI networks. Boards cannot assume incremental changes carry incremental risk, demanding network-level 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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