Identifying a software solution to meet your data transformation needs is just the first step in defining your approach to compliant data de-identification. How you leverage that solution within your company surfaces a number of new questions to consider:
Determining a management plan is critical to maximizing the solution’s value across your use cases and ensuring its scalability across your organization.
Define from day one whether you’ll implement a centralized or decentralized approach to managing your data de-identification software, and designate the resources you’ll need, including people resources. Identify built-in capabilities to support your approach, such as RBAC or audit trails.
Using the Tonic.ai platform as an example, we’ll outline what this could look like at your organization. Read on for key considerations, recommendations, and the functionality that your team needs to successfully manage and maximize the value of data de-identification at your organization.
Get the full step-by-step playbook for rolling out, managing, and scaling data de-identification to meet software and AI development needs across your organization.
Identify an organizational model for data de-identification that works for you:
Develop a process for expanding data de-identification to new use cases, workflows, and teams.
Leverage the built-in functionality of data de-identification solutions like Tonic Structural and Tonic Textual to manage access, audit workflows, and standardize processes:
Connect with a data de-identification expert to build an approach to data privacy compliance tailored to your organization’s development workflows and data needs.
Tonic.ai comes ready with out-of-the-box support for detecting a comprehensive catalog of sensitive data types and entities. From names, dates, and locations to nuanced healthcare, finance, and developer-specific fields, our pre-trained models are designed to recognize and flag personally identifiable information (PII) and protected health information (PHI) to ensure compliant data de-identification. This built-in data discovery forms the backbone of strategic, compliant data workflows.
Here’s a look at some of the sensitive data types that Tonic.ai’s products automatically detect.