Information Barriers

Information barriers are policies and technical controls that prevent certain groups of people or systems from sharing particular data with one another, such as separating investment banking from trading desks or walling off confidential deal information from general staff. In the context of AI, they matter because a model or AI assistant that can reach data across these walls can quietly move restricted information to people who should never see it. Compliance and risk teams need to confirm that AI tools respect the same access boundaries as the underlying systems they draw from.

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Corporate PolicyGlobal2026-11-08

Goldman's Claude Code Ban Exposes AI Coding Tool Governance Gap

Goldman Sachs restricted access to Anthropic's Claude Code and Microsoft's GitHub Copilot in October 2026, limiting both tools to engineering staff only. Traders and bankers who had used the tools to monitor client flows and build market models lost access following an internal risk review. The decision reversed a posture the bank's own chief information officer had praised publicly just months earlier.

Goldman Sachs Anthropic Claude Code financial services information barriers AI coding agents access controls model risk management