Short term success and commoditization efforts drive closed approaches and proprietary data silos. We will attempt to prove that open approaches, such as Data Centric Security (DCS) are not only better for the consumer, but provide better security and better long-term economic viability. This paper introduces the Confidentiality/Integrity (CI) framework for DCS. The CI framework provides provably strong assurance of confidentiality and/or integrity. This framework allows automated/negotiation and control approaches because it encodes and packages data security requirements along with the data itself, instead of at network boundaries or on individual servers. Multiple levels of security are possible and necessary within the framework, depending on data confidentiality, integrity, and control requirements, and implementation technical requirements. More advanced levels of security within the framework including strong cryptography and executable smart packages which act as a virtual security device will become prevalent as data processing capabilities grow, and the need for decentralized security increases. We will briefly discuss previous investigations into DCS for Personal Information and Cloud Computing, existing open source projects including ccREL and vSmartCard, and discuss open approaches.Target audience: systems architects, information security professionals, cloud marketing or business managers, developers, and anyone interested in technical aspects of electronic privacy.