The Semantic Web is a family of technologies that in the last decade has spread also outside academia, especially in business and industry contexts. The substantial expansion of the Semantic Web is driven by the innovative approach of web ontologies in defining machine-intelligible, interconnected, and shared data. This data can be leveraged by semantic reasoners to infer new knowledge. Therefore, besides the spread of semantic data, the related security issues become urgent. Even though the Semantic Web technological stack provides some layers to secure applications, they are only defined conceptually. Hence, it is necessary to provide developers with new approaches to define policies for accessing semantic data in a general and transparent way, as demanded by the FAIR (Future Artificial Intelligence Research) principles. The project aims at defining and implementing general and verticalizable ontological meta-models for securing semantic data, specifically for the definition of data-security policies. Such meta-models can be leveraged by knowledge engineers to establish how software and users should consume data at low level, easing the applications from management of security risks.