Data Pseudonymization Explained: When Anonymization Isn't Enough
Learn the difference between anonymization and pseudonymization under GDPR, and when reversible data protection is essential for analytics and fraud detection.
Learn the difference between anonymization and pseudonymization under GDPR, and when reversible data protection is essential for analytics and fraud detection.
As AI accelerates code generation, teams shift from line-by-line review to guardrails and QA. Discover why production-like, anonymized data and isolated database branches are now critical for safe, fast shipping.
Learn how Dynamic Data Masking (DDM) works, its limitations against inference attacks, and why static masking with branching is safer.
Ship faster with Postgres: JSONB, full-text search, trigrams, and cache tables. Add Redis or Elasticsearch only after you measure real production bottlenecks.
Learn about the new xata container image, designed to integrate the xata CLI into your containerized workflows.
Learn what database branching is, how copy-on-write works, and how to use it to create isolated databases without conflicts or long copy times.
A major architectural milestone that removes schema logs and simplifies how pgstream captures and replicates Postgres schema changes
A practical guide to database-layer data protection—masking, obfuscation, pseudonymization, and anonymization—plus GDPR, HIPAA, and SOC2 implications.
Learn the difference between pseudonymization vs anonymization under GDPR and how deterministic hashing preserves integrity in staging data.
Xata + Privacy Dynamics brings reliability and governance to your organization's agent-led development projects.
Production data is vital for debugging but risky. Automated anonymization enables realistic staging, faster dev cycles, and GDPR compliance.
Create safer staging in seconds with AI: analyze schema, generate and validate strict anonymization configs, remove PII from prod-like data.