TECTEC-001 — Integration Architecture Weaknesses
Information Asymmetries in Multi-Agent AI Systems Enable Deception and Conflict
4/5Sector: OtherGeography: GlobalStage: OperateIngested: —
Executive Summary
AI agents operating with private or siloed information can miscoordinate, deceive one another, and generate adversarial outcomes without human awareness. Boards face material governance risk if multi-agent deployments lack transparency mechanisms to surface inter-agent information gaps.
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.