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Data masking: DIY internal scripts or time to buy?

ID: 67fc8f6c-a9f8-566c-be39-c510d5769c7e

STIX ID: report--67fc8f6c-a9f8-566c-be39-c510d5769c7e

Feed Name: Security Boulevard

Date Published: 2026-01-28

Date Updated: 2026-04-22

Author: Expert Insights on Synthetic Data from the Tonic.ai Blog

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This blog argues against building in-house data masking via scripts due to complexity, scalability, maintenance, compliance, and schema-drift challenges, and promotes adopting a dedicated platform. It highlights Tonic.ai’s features—broad connectors, configurable generators, privacy scanning with recommendations, subsetting, RBAC, APIs for CI/CD, integrity and distribution preservation, and SSO—supported by customer testimonials, concluding that most organizations achieve better value, speed, and risk reduction by buying rather than building.

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