Existing inline enforcement gateways such as DeepInspect record every AI request on the wire and produce cryptographically signed audit trails. However, the failure class documented by GEW occurs inside the LLM's own state transitions: output from a terminated process survives context compaction, loses its evidential qualifier, and is inherited as confirmed operational state by a later session. Because the corruption happens within the model's internal state rather than on the HTTP request path, no amount of request-level logging can detect it in principle. GEW occupies the complementary layer: independent, post-hoc reconstruction and verification of AI execution artifacts, state transitions, and evidentiary claims that inline gateways cannot observe.
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