True Right to Be Forgotten
From databases to models: complete deletion by design.
Privacy compliance requires more than deleting a customer row. Modern systems replicate data across logs, analytics stores, caches, vector indexes and machine learning pipelines. A true right-to-be-forgotten workflow must address each layer.
Our implementation model
- Identity resolution and scope mapping across all operational and analytical systems.
- Policy-driven deletion orchestration with auditable execution states.
- Purge of derived artifacts: features, embeddings, snapshots and training datasets.
- Model impact handling, including retraining or targeted unlearning strategies.
- Post-deletion verification and compliance evidence packages.
ML and AI considerations
For ML systems, deletion can require retraining schedules, shadow validation and quality checks to ensure both privacy and model performance. We design these controls into the operating model from the start.
What a full erasure workflow covers
Tier 1 - Operational systems: CRM, ERP, authentication stores, support ticketing
Tier 2 - Data pipelines: event streams, CDC logs, ETL staging, data lake raw zone
Tier 3 - Analytics & reporting: data warehouse tables, BI cache layers, aggregated reports
Tier 4 - ML systems: training sets, feature stores, model artifacts, batch inference outputs
Tier 5 - Backups & archives: encrypted backup rotation schedule, archive expiry policy
A typical mid-size SaaS platform has 8-14 distinct personal-data touch points that require individual deletion logic. Most GDPR implementations address 2-3.
Tier 2 - Data pipelines: event streams, CDC logs, ETL staging, data lake raw zone
Tier 3 - Analytics & reporting: data warehouse tables, BI cache layers, aggregated reports
Tier 4 - ML systems: training sets, feature stores, model artifacts, batch inference outputs
Tier 5 - Backups & archives: encrypted backup rotation schedule, archive expiry policy
A typical mid-size SaaS platform has 8-14 distinct personal-data touch points that require individual deletion logic. Most GDPR implementations address 2-3.
The result is not just legal compliance, but durable trust with users and regulators.