Solution

Data Masking for Secure Development, Analytics and AI

RESTART helps reduce the risks of working with sensitive data in test loops, analytics, development and AI scenarios.

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Context

We design rules for identifying, classifying and transforming data in order to use them in non-production and analytical environments without excessive disclosure.

What does RESTART do?

We conduct a survey, record requirements, design the target architecture, determine the scope of work, prepare documents and support the implementation of the solution into the existing IT landscape.

Data Protection Partners

For the tasks of masking, tokenization, depersonalization, database protection and secure preparation of non-production environments, RESTART relies on partner solutions from DAMASCUS and Garda. DAMASCUS is useful for dynamic protection, masking and tokenization of data in applications and databases; Garda closes DLP, DBF/DAM, Data Masking and control of actions with sensitive data.

Partners are listed as the technology backbone of the solution class. The specific composition of products, versions, licenses, certificates and delivery conditions are confirmed before the project.

Who cares

Large companies, regulated organizations, IT and information security departments, financial services and process owners who need a managed, auditable and supported loop.

What does the client get?

Roadmap, architectural solutions, implementation requirements, design artifacts, operational recommendations and a clear next step.

First step

A short diagnostic meeting and collection of input: current architecture, restrictions, regulations, deadlines, responsible systems and expected results.

Risks and limitations

Before launch, the boundaries of the environment, data sources, information security requirements, access roles, integrations, process owners and operational restrictions are fixed. This reduces the risk of a formal implementation that does not work in the customer's actual architecture.

Result Artifacts

  • description of the business problem and success criteria;
  • target architecture or process design;
  • integration and data requirements plan;
  • list of risks, restrictions and control points;
  • roadmap of implementation, pilot or development.

Frequently asked questions

When should the solution be launched?

When a task is repetitive, impacts risk or money, and requires linking multiple systems, data, or teams.

Is it possible to start with the pilot?

Yes. The pilot helps test the hypothesis, data, integrations and constraints before production implementation.

What restrictions are fixed in advance?

Access, data, regulation, timing, integration, operation, process owners and acceptance criteria.

Let's discuss your environment

Describe the task, current systems, constraints, and expected results. We will offer a practical first step: diagnostics, pilot, audit, roadmap or project team.

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