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A novel governance architecture for AI agents reveals how to manage risks that traditional security models overlook, ensuring compliance even in complex workflows.
Self-modifying agents can drift into unintended behaviors even when individual updates seem reasonable, because accumulated changes become difficult to reverse or even detect.