Compliance
Compliance services evaluate your data against privacy standards and regulatory frameworks (such as GDPR) to ensure data quality and legal safety.
GDPR
An LLM-based service designed to evaluate the current state of a table's compliance with regulatory frameworks. By analyzing data samples and column headers through the lens of a specified processing purpose, the system determines whether the dataset falls under the scope of GDPR.
Input: The current table and a description of the data processing purpose.
Output: A table overview (summary of GDPR status and confidence) and a detailed column analysis
(classification, suggested action, reasoning).
The possible table GDPR statuses include:
- noGDPR: The table contains no personal data and is outside the scope of GDPR.
- yesGDPR: The table contains identifiable personal data and is subject to GDPR requirements.
- pseudoGDPR: The table contains pseudonymized data; GDPR still applies, but the risk is reduced.
Column classifications:
- personalData: Directly identifies an individual (e.g., name, email).
- quasiIdentifiers: Could indirectly identify a person when combined with other data.
- nonPersonalData: Organizational or contextual information.
- anonymousData: Fully anonymized data.
Suggested actions:
- noChange: Data is already compliant.
- pseudonymize: Replace identifying values with pseudonyms or hashes.
- generalize: Reduce data specificity (e.g., exact dates to years).
- remove: Delete the column if unnecessary for the specified purpose.
