Most tools provide monitoring to one or two aspects of data access, but not to all three. For example, the specific tool, endpoint and network as well as comparing access to historical patterns. Monitoring behaviour: this requires the monitor to establish how data is being accessed beyond identity and type of data.For example a social security number or email address. This requires delving beyond the traditional database, schema and table and identifying the specific type of data. Monitoring data types: this requires the monitor to establish the type of data being accessed.Monitoring identities: this requires the monitor to establish the identity of the entity accessing data, such as a user, application or partner.It also requires a number of different approaches: Monitoring data access typically requires a combination of native database tools and third party software. The main challenge in access control is creating and maintaining the balance between enabling access to data in a manner that encourages innovation and drives growth while keeping it safe and remaining compliant. These three perspectives around data demand different capabilities from the company’s data architecture that often contradict each other. This means that data subject information collection, storage and processing needs to be strictly controlled. Privacy teams, who want to ensure that the company adheres to privacy laws and has processes and technologies in place to ensure the maintenance of data subject rights.This means ensuring that the company only stores the data it absolutely needs and restricts its access on a strict need-to-know basis. Security teams, who want to ensure that access to data is not abused.This means ingesting, storing and analyzing more data by more people. Data teams, who want to innovate faster with data and create more value for their organization.Lets review three core teams that are typically involved in data access control: While every organization is different and follows its own respective data access philosophy, a universal set of challenges tends to plague the majority-stalling their data-driven innovation in the process. Read more about Satori’s approach to data access control here. Satori combines role, data and context-based access controls to leverage the advantages of each approach while eliminating their respective disadvantages, providing the most comprehensive means to control organizational access to data on the market. The disadvantage of context centric access control is that it requires mapping all possible threats and might leave gaps in access control policies. The main advantage of context-centric access control is that it prevents known threats in a simple and effective manner. For example, prohibiting access to large quantities of sensitive data outside of business hours. Context-centric access controlĬontext-centric access control is centered around the nature of access. The disadvantage of data-centric access control is that it requires organizations to map and classify all of their data as a prerequisite for implementing such controls. The main advantage of data-centric access control is that such controls provide a simple way to achieve requirements around data access across users and systems. For example, sensitive data should not be retrieved by any entity unless they are using a specific application. Data-centric access controlĬontent-centric access control is centered around the type of data being accessed. The main disadvantage of role-based access control is that the definition of roles might not be sufficiently granular and might change frequently. The main advantage of role-based access control is that it allows business owners and team leaders to control access in the context of their organizations’ respective role structures. For example, a user assuming an administrator role will be granted access to user management functions but not to data. Role-based access control is centered around the role of the entity. There are three types of access control: Role-based access control
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