Research · September 7, 2026
The Trust Gap: Why AI Adoption Has Outrun Accountability
Enterprises can trust what a model says. Very few can prove what an agent actually did, under whose authority, once it has already happened.
Summary
Three independent 2026 surveys converge on the same shape: agents are in production almost everywhere, and almost nowhere can an enterprise reconstruct who authorized a given action. This piece measures the accountability gap, explains why review after the fact does not close it, and sets out what an architecture built to close it actually looks like.
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