PrivDev: Mapping Static-Analysis Data Types to DPV
PrivDev links static-analysis scanner output to the Data Privacy Vocabulary, giving enterprises a machine-readable bridge between code-level data detection and GDPR-mandated data inventories.
Summary written by editorial AI · Source link below
arXiv:2610.03518v1 Announce Type: new Abstract: Static-analysis scanners can identify personal-data types in source code, but they lack mechanisms to connect these findings to standardized privacy vocabularies. PrivDev maps 122 Bearer CLI data types to Data Privacy Vocabulary Personal Data (DPV-PD) categories and links them to potentially relevant GDPR provisions. Our approach combines deterministic mapping for 43 exact-label matches with a retrieval-grounded Large Language Model (LLM) to resol
Editorial Analysis
Automated mapping of code-detected data types to standardised privacy vocabularies can streamline GDPR compliance and reduce manual data-inventory effort.
Assess whether your static-analysis tools can be enriched with DPV mappings to automate personal-data classification in your codebase.
Automating the link between code scanners and privacy vocabularies can reduce GDPR data-inventory costs.
Forward-looking interpretation drafted by editorial AI under human review — not a reproduction of the source. See methodology.
External link — opens at arXiv Crypto & Security in a new tab.
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