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Why AI connector builders must make trust boundaries visible before selling

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Developers and vendors building AI connector tools are being urged to clearly map trust boundaries before pitching or selling their products. A trust boundary map should cover permissions, data flow, model providers, retention policies, deletion paths, and customer controls. Making this information accessible upfront — rather than buried in late-stage security documents — helps both buyers and investors evaluate the product more quickly. Tools like Hyper, which connect company context to AI systems, are cited as examples where such transparency is especially critical. The argument is that visible trust boundaries are not just a security formality but a core element of product credibility.

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Why AI connector builders must make trust boundaries visible before selling · ShortSingh