In this publication, Rohde & Schwarz experts review the challenges that mode-agile (WARM) radar and EW threat emitters pose to traditional static threat library implementations in radar and EW systems, and consider the architecture of cognitive artificial intelligence and machine learning systems that can be used to deliver effective RF countermeasures.