Data verification is essential in maintaining the security of your organization’s data. If an unauthorized user accesses confidential information, they will be able to access that data without authorization. To ensure this doesn’t happen, everyone at your organization must have access to the same data and meet stringent criteria regarding how it can be accessed. That means having set rules for when and how employees are allowed to view or change sensitive data. It also means having a way for employees to identify the end users who have access to confidential information and reset their permissions accordingly. This is where a new release of UDDE Engine comes in handy. With UDDE Engine v1.1, you can define which machines have the ability to see and change encrypted data restricted based on their specific roles and responsibilities — meaning you don’t need comprehensive policies or hard-and-fast rules for how sensitive data should be viewed or changed. Instead, you can easily determine what end users have access by monitoring and managing permissions on these machines automatically:
What is the difference between a Machine IDs and Key IDs?
Machine IDs are unique identifiers that are assigned by your software. Key IDs are generated by public key infrastructure (pKI). Key IDs are used for authentication, verification, and certification.
Why Does UDDE Engine Use Machine IDs and Key IDs?
Machine IDs are used to uniquely identify each machine. Key IDs are used to query remote systems to determine the permissions associated with a specific machine.
Role-Based Access Control
If an employee has access to sensitive data, they are provided with the capability to revoke access through a role-based access control system. A role-based access control system uses user roles to manage access control.
Automated Reset of End User Permissions
With machine IDs and key IDs, you can set up an authorization policy that lets employees revoke access to specific machines after they have logged in. By using automated access control, you also avoid any human errors that could lead to sensitive data being overlooked or overlooked by key users. As an example, let’s say an engineer has access to sensitive data on a machine that holds no other permissions. In this case, the engineer can log in with the same user role as the rest of the team, but the engineer in charge of the data access cannot see the data without the other person’s permission. With automated access control, the engineer is granted only the right to see the data if he logs in with the right user role. In other words, a login with the same user role as others in the group can’t see sensitive data without their direct knowledge.
What is the procedure for resetting end user permissions?
To ensure the data is stored securely and addressed properly, you should run regular data verification checks on your data. Also, make sure you know what permissions each device has at all times. You can manually monitor each machine’s visibility using the web interface, or use an application likedesired-data. On these machines, you can view, edit, delete, and create sensitive data. Afterward, you must manually clear out any sensitive data from these machines. You can do this by logging into your system, clicking on “Manage,” and then clicking on “Clear Data.”
Conclusion
Ready to up your data protection game? You’re not far from finding the solution. With the new and exciting power of decentralized data, you can now ensure data safety and security by managing access to data across multiple devices. The decentralized nature of today’s data means there is no single authority responsible for all of the security details. What’s more, each device can’t see the data the same way — meaning there are no “host” computers in the middle of a sea of computers. This decentralized data management approach means data can be distributed across all devices, effectively eliminating centralized authority and protecting data at every stage of its journey.