gdpr-ccpa-privacy-auditor

To verify privacy policy alignment, you must cross-reference stated data collection claims against detected tracking signals, cookies, and scripts. This process detects privacy laundering by ensuring declared policies match observed technical behavior on public webpages.

A privacy audit detects consent banner mismatches by applying NLP-based cross-referencing between policy text and observed data collection indicators. It scans public marketing pages to identify where stated data practices diverge from actual tracking behavior.

Yes, you can use a privacy audit for vendor risk assessment and due diligence. It guides periodic reviews of external applications, verifying that vendor privacy policies align with their actual data collection and tracking practices.

You do not need source code access to audit web application privacy policies, as cookie and script scanning works on public websites. However, optional source code access provides deeper visibility for internal privacy impact assessments.

The best way to check for GDPR and CCPA compliance gaps is scanning marketing pages for tracking signals and cross-referencing them against policy text. This identifies privacy laundering where observed data collection exceeds stated policy claims.

Auditing privacy policies without source code limits visibility to client-side cookies and scripts on public webpages. It cannot detect server-side data collection or backend tracking practices, requiring optional source code access for complete privacy impact assessments.