Swapsentry
An authorized external monitoring service that replays a private, safe probe battery against customer-controlled support agents, detects statistically meaningful behavior changes, compares vendor declarations, and routes high-risk drift to human review.
The research confirms testing tools, multi-provider routing and a published adversarial-cost summary, but found no reviewed customer-side monitor for silent support-model substitution. The benchmark lacks an independently found official homepage in the source, so it remains secondary evidence.
Swapsentry should separate vendor declaration, deployed endpoint, approved probe, response, normalized feature, behavioral drift result, model-family hypothesis, benchmark reference, risk interpretation, human finding, vendor inquiry, vendor confirmation, mitigation approval, command, acknowledgment and customer outcome. Behavioral fingerprinting cannot identify an exact model with certainty.
Probes must be authorized, rate-bounded, non-abusive and free of live customer data or exploit payloads. The service should not bypass access controls, induce refunds or account changes, publish attack recipes, or automatically reroute a production agent based on an uncertain hypothesis.
Support, vendor-management, security and AI-governance teams responsible for outsourced or hosted customer-service agents.
Active multi-provider routing and published adversarial comparisons support timing.
A probe and fingerprint corpus can improve across deployments.
One related idea and several enabling products support the premise.
Confirmed routing and testing substrates plus a private repeated-probe workflow make behavior-drift monitoring feasible.
Buyer and exact model identifiability are underverified; stochastic responses, provider updates, authorization, probing cost and benchmark quality create false-positive risk.
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