TECTEC-001 — Integration Architecture Weaknesses
Abrupt Behavioural Phase Transitions in Multi-Agent AI Systems
3/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Minor system changes, such as adding new agents or shifting data distributions, can trigger sudden, unpredictable collapses or reversals in AI system behaviour. Boards cannot rely on gradual performance signals as warning indicators, making conventional monitoring and risk thresholds unreliable.
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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