The objective of the proposed research is to develop approaches that extend and exploit the capabilities of mathematical models for secure cyber-physical design and operation, while judiciously incorporating model-free augmentations to recover any performance loss incurred due to modeling imprecision. In particular, we will focus on two main goals: (a) broadening the functionality of models to derive novel quantitative measures to assess system properties and vulnerability to adversarial intervention; and (b) deriving autonomous frameworks that will intelligently introduce complementary data-driven and model-free techniques into the decision-making scheme to robustify model-based architectures against performance degradation resulting from imperfect knowledge and/or modeling inaccuracies.