During past two decades, the industry has made major progress in quality and integrity assurance in their processes based on fusing process physics with various data science principles. The data pipeline enabled in smart manufacturing opens interesting possibilities to advance these principles for cybsersecurity assurance, especially in the context of the emerging manufacturing-as-a-service (MaaS) paradigm. This talk presents two specific use cases: The first focuses on securing the manufacturing digital thread based on embedding alternative signatures into products with specific performance guarantees. The second focuses on detecting cyberattacks in a sensor-integrated smart manufacturing environment with robotic material handlers.