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TECTEC-001 — Integration Architecture Weaknesses

Multi-agent AI systems fail to coordinate despite shared objectives

5/5Sector: OtherGeography: GlobalStage: OperateIngested: —

Executive Summary

AI agents with identical goals can nonetheless produce suboptimal or failed outcomes when their behaviours cannot be aligned in execution. Organisations deploying multi-agent systems face operational risk even where objective alignment appears complete, undermining assurance frameworks built solely on goal specification.

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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