TECTEC-001 — Integration Architecture Weaknesses
Multi-Agent AI Systems Create Dangerous Feedback Loops Through Mutual Adaptation
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI systems that adapt in response to one another can generate self-reinforcing feedback loops, producing behaviour no single developer designed or anticipated. Boards deploying multiple AI systems must establish cross-system oversight protocols or accept liability for emergent harms beyond current governance 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/
Could this happen in your organisation?
A Velinor AI Audit maps your active AI portfolio against the 50+ blindspots and benchmarks against documented sector failures like this one. A board-ready foresight document in 5 weeks.