TECTEC-001 — Integration Architecture Weaknesses
Cascading Security Failures in Multi-Agent AI Systems
5/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
Localised attacks on networked large language model agents can propagate rapidly, producing system-wide failures that are difficult to detect or contain. Boards face amplified liability exposure and operational disruption where AI orchestration layers lack robust authentication and incident isolation controls.
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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