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Managing the Stubborn Residual Risks of AI Governance

An open-source tool that finds every cross-border AI data flow in a company's code before it ships. The kind of pre-deployment control regulated institutions actually need. Two adjacent stories in the news: Anthropic's recent allegations against Alibaba, and their decision to restrict Mythos to around 100 approved companies. Three connected problems at the heart of AI governance: 1. AI data residency and sovereignty, 2. AI theft, and 3. AI export control. Each carries residual risks that technology cannot fully eliminate. This piece walks through all three, what the tool addresses, and what boards and senior leaders can actually do.