Artificial Immune Systems (AIS) are adaptive systems involving the translation of structures and functionality of human immune system into feasible computational algorithms to tackle variety of problems in engineering particularly information technology. The Dendritic Cell Algorithm (DCA) is an example of immune inspired algorithm which granulates the information at different layers, achieved through multi-scale processing. The DCA is abstracted and implemented through a process of examining and modeling various aspects of Dendritic Cell function, from the cellular level to the systemic level. This talk presents a brief overview of the algorithm and the processes used for its development. The talk also provides a brief description of an implemented DCA highlighting signal and antigen processing as granular computation.