Continued advances in software defined systems (SDS) have greatly enabled agility to RF spectrum search and analysis. Recognizing the criticality for dynamic spectrum access across 5G and 6G networks, correlating complex RF waveforms have leveraged digital wideband arrays and open architectures for data and information additives. This paper examines how state-of-the-art SDSs will need to interface with novel RF manifold technologies resulting in architectures that demonstrate the combined sensing functionality (communications, radar, etc.) operating under cooperative and non-cooperative conditions. These hybrid-SDS concepts are likely to extend the use of machine learning applied to complex waveform analysis/generation