Practical AI Governance Across the System Lifecycle

Anonymization Reassessment: Six Changes to Watch is a practical trigger guide for privacy, legal, governance and data teams. It helps organizations identify when assumptions behind an earlier anonymization assessment may need to be revisited because the data, available information, access conditions, re-identification techniques or AI capabilities have changed.

The guide is based on EDPB Guidelines 02/2026 on Anonymization and supporting technical research on re-identification, including record linkage, inference, mobility re-identification and emerging LLM/agentic techniques. It provides six reassessment signals, practical checks and a simple escalation pathway for deciding when to monitor, conduct targeted testing or consider a fuller reassessment.

This resource is a reassessment trigger aid, not a substitute for a full legal or technical anonymization assessment.

 Different AI vendors do not always mean genuinely independent AI systems. This free 12-question guide helps organizations uncover shared dependencies across models, infrastructure, APIs, data sources and failure patterns. Use it to assess whether backups, second opinions and human review are truly independent, and to identify gaps in substitutability, incident response, procurement and ongoing monitoring. It is a research-derived governance aid, not a regulatory checklist.