Biological networks that arise in signal transduction, metabolism, gene control or other cellular functions frequently involve many steps and many levels of control, but are remarkably reliable in producing the desired output in response to inputs. In this talk we will discuss general characteristics such as sensitivity and adaptation of networks, give several examples that illustrate how robustness is achieved, and discuss the mathematical techniques that can contribute to understanding complex networks.