Biological immune system is a complex adaptive system which can quickly identify and resist external risks, thus providing a new idea and method for enterprises to identify dynamic risks effectively. We study the related literature and find that current research on enterprise dynamic risk identification (DRI) under biological immune perspective has achieve a certain progress, however, there is not a set of relatively mature method system. Based on the ideas of  biological immunity, we construct a set of DRI biological immune system extension method, including automatic identification of dynamic memory and automatic identification of variable fuzzy. Multiagent simulations on the Netlogo simulation platform verify the effectiveness of this method. Our study extends and expands the theory of enterprise DRI, enriches the related literature on enterprise DRI under biological immune system mechanism extension, providing application guidance for DRI problem in other fields.