Machine-speed transactions without consequence boundaries
AI agents and automated workflows are being authorized to initiate, approve, and route financial transactions. The authorization structures assume human review cycles that no longer exist.
A delegated AI agent accumulates approval authority across multiple payment systems. A single compromised prompt or policy drift enables large-scale unauthorized transfers before any human observer can intervene.
Fraud detection and monitoring systems observe transactions after execution. They are not positioned at consequence boundaries. By the time an anomaly is flagged, consequence is already realized.
Receiver-edge enforcement at financial consequence seams. Authority constraints applied before transaction execution, not after. Dynamic risk weighting adjusts enforcement thresholds based on live system state and delegation context.
Financial consequence




