Cross-Organizational Governance

Cross-organizational governance refers to the rules, roles, and oversight arrangements that apply when AI systems, data, or decisions span more than one company, agency, or legal entity. Examples include a vendor supplying a model to a bank, a hospital sharing patient data with a research partner, or a parent company deploying AI through subsidiaries in different countries. It matters because accountability often becomes unclear when no single organization controls the whole system, so contracts, audit rights, and incident-response duties need to be defined up front.

1 item

ResearchGlobal2026-11-12

HCLTech-MIT Research: Agent Discovery Infrastructure Exposes Systemic Governance Gap

HCLTech and MIT Media Lab published joint research examining NandaIndex, an open agent-discovery protocol. It is designed to help AI agents locate and interact with one another across organizational and platform boundaries. The research argues that AI safety controls focused on individual agents are insufficient once agents coordinate at ecosystem scale. It calls for systemic monitoring, incident-learning mechanisms, and cross-ecosystem accountability infrastructure.

HCLTech multi-agent systems agentic AI systemic risk agent discovery cross-organizational governance MIT Media Lab