The data of the government and enterprises, as the production factors are facing risks and problems of security violations, such as data leakage, data abuse and data tampering during quick circulation. This paper studies the security supervision architecture of data circulation (exchange, sharing, transaction) from the perspective of the whole life cycle, proposes and constructs the security supervision metadata model, which is used to represent the changes of users, behavior, data lineage, etc. during the whole life cycle of data; For massive data, based on the metadata model of security supervision, innovates the key technologies such as data security monitoring, tracing and ownership authentication; Per the verification need, a set of security supervision prototype showing security situation, tracing performance, ownership construction/authentication and low-level visual explorer is developed.