Real-world evaluations of client-side Zero-Trust Data Sanitization (ZTDS). Discover how independent practitioners audit in-browser prompt de-identification, DOM inspection, and constant-time GDPR erasure in production AI workflows.
Empirical enterprise workflow and regional identifier de-identification evaluation is currently undergoing peer revision and updated protocol validation.
An empirical benchmark across 500,000 vector records demonstrating in-process ZTDS pre-embedding sanitization vs cloud DLP proxies, <0.065ms in-memory latency, and constant-time O(1) Right to Erasure without re-indexing vector graphs.
We invite CISOs, DPOs, and security engineers to evaluate our client-side zero-server engine against your synthetic enterprise datasets and regional regulatory requirements.
All field evaluations and benchmarks operate under the Zero-Trust Data Sanitization (ZTDS) protocol documented in permanent scientific publications:
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Zero-Server · Zero-Trust · 100% Local
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