Definition

Determines whether content aligns with key privacy regulations such as GDPR, HIPAA, ensuring adherence to data protection and compliance standards. This assessment is critical for mitigating risks associated with sensitive data exposure and regulatory violations.

A “Passed” indicates that the content fully complies with privacy requirements, confirming that no personal or sensitive data is improperly handled. A “Failed” signifies the presence of privacy violations, such as unauthorised data exposure or non-compliance with regulatory guidelines, requiring immediate remediation.


Calculation

It begins by identifying the type of data within the input, determining whether it falls under specific privacy regulations such as GDPR, HIPAA, or CCPA. The identified data is then mapped to relevant regulatory requirements, ensuring alignment with principles like data minimisation, consent obligations, and security controls.

The evaluation proceeds with an output assessment, checking for potential data exposure by analysing direct identifiers (e.g., names, addresses) and indirect identifiers (e.g., IP addresses, device IDs).


What to do when Data Privacy Compliance Failed

Identify specific privacy violations in the output and take immediate action to remove or redact any exposed sensitive data. Strengthening data handling and processing protocols can help prevent similar issues, while enhancing anonymisation and pseudo-anonymisation techniques ensures better data protection.

Regular privacy audits and assessments should be conducted to identify potential risks and maintain compliance.

Finally, integrating privacy-by-design principles into system development and operations ensures that data protection measures are embedded at every stage, minimising the risk of future compliance failures.


Differentiating Data Privacy Compliance with PII

Data Privacy Compliance assesses adherence to multiple privacy regulations and principles, ensuring legal and regulatory alignment. While PII Detection focuses specifically on identifying personally identifiable information (PII) to prevent exposure.

Data Privacy Compliance is ideal for organisations conducting privacy audits, while PII detection is suited for general-purpose data anonymisation and protection efforts.