De-Identifying Data For Software Development And Testing At Enterprise Scale
Security Boulevard, Thursday, October 24th, 2024
Protecting sensitive data for secure distribution to software testing and development teams at an organization-wide level poses a number of challenges for enterprises
Front and center are the challenges of:
- Effective coordination between stakeholders and users: De-identifying sensitive data requires input from various parties, including security teams who need to ensure compliance with regulations and internal policies. Additionally, onboarding new users can be difficult when knowledge about data privacy standards is siloed within the mind of one expert on the team.
- Maximizing efficiency: Distributed decision-making wastes valuable time by delaying or duplicating efforts, which gives rise to bottlenecks and frustration, and increases the likelihood of errors. At the scale of terabytes of data and hundreds of columns, the need to streamline workflows is magnified.
- Enabling standardization: The more users and teams involved, the more difficult it becomes to have the global visibility to ensure that the same de-identification policies are applied consistently and to the required standards across databases and developer environments.
The Enterprise Fake Data Platform
The Tonic platform is uniquely suited to solving the challenges of turning sensitive data into realistic, safe data at the enterprise level