Automating the Right-to-Be-Forgotten
Transforming compliance from a manual burden into an automated, audit-ready workflow. Explore how AI identifies, classifies, and securely erases personal data across complex systems.
Discovery Speed
100x
Faster than manual SQL queries via AI pattern matching.
Risk Reduction
94%
Decrease in missed data artifacts and "zombie" records.
Audit Readiness
Instant
Automated generation of immutable deletion certificates.
The Automation Gap
Manual compliance relies on disjointed scripts and human memory to find data ("Where did we store John's shipping logs?"). This approach fails at scale.
AI-driven compliance inverts this by scanning *content*, not just metadata. It understands context—distinguishing between a customer named "Rivers" and a geographical location.
Step 1: Automated Identification
The first challenge is visibility. Personal data hides in structured databases, unstructured logs, and third-party SaaS tools. Interact with the system map below to see how different scanning technologies identify data.
Select a Data Silo:
Select a data silo to analyze identification methods
Structured Databases
Legacy Approach
Relies on column headers matching exact strings like "SSN" or "email". Misses data in notes fields or mislabeled columns.
AI Approach
Samples actual cell content. Uses NER (Named Entity Recognition) to identify PII patterns even if the column is named "Temp_Var_1".
Detection Accuracy Comparison
Step 2: Policy-Based Deletion vs. Anonymization
Not all data should be deleted. Financial records must be kept for tax purposes, while user profiles must be erased. The automated engine applies granular policies to decide: Hard Delete or Anonymize.
Run Policy Simulator
Select a data artifact to see how the engine applies business rules.
Awaiting Input
Select a data artifact to initiate policy engine.
Detected Classification
Personally Identifiable Information (PII)
Applicable Rule
GDPR Art. 17: Subject requested erasure. No overriding legal interest.
Engine Action
HARD DELETE
Row removed from DB. User ID removed from index.
Step 3: Audit-Ready Evidence
Compliance is binary: if you can't prove it, it didn't happen. The system automatically generates comprehensive audit logs, cryptographically signed certificates of destruction, and regulatory reporting.