ZTDS.ai Open AI Security Standard
Ilya Sibiryakov

Ilya Sibiryakov

Founding Fellow

Founder & Chief Architect · BrandMeWeb · PrivacyScrubber

ORCID IDENTIFIER
0009-0002-0642-5985
FOUNDATION DOI
10.5281/zenodo.22058770
WIKIDATA ENTITY
Q141546647
PATENT APPLICATION
IL 331905 · WIPO B17B

Architectural Mandate & Research

Ilya Sibiryakov is the author and Chief Architect of the Zero-Trust Data Sanitization (ZTDS) specification. His research focuses on mathematical de-identification boundaries, deterministic client-side privacy, and high-throughput in-memory tokenization engines operating under a sub-2ms latency budget.

As the founder of BrandMeWeb and architect of PrivacyScrubber, he engineered the pioneer reference implementation proving that sensitive data can be de-identified entirely inside volatile client RAM without cloud data processing or telemetry leakage.

Published Foundation Papers & Preprints

  • The Zero-Trust Data Sanitization (ZTDS) Protocol for Frontier Artificial Intelligence Ingestion
    IETF Standards Track · draft-sibiryakov-ztds-protocol · Datatracker
  • Zero-Trust Data Sanitization (ZTDS): Mathematical Proof & Operational Framework
    Zenodo · DOI: 10.5281/zenodo.22058770
  • Empirical Latency Benchmark: In-Memory Client RAM Masking vs. Cloud DLP Proxies
    OSF Preprints · DOI: 10.17605/OSF.IO/5BYJF
  • Preserving Attorney-Client Privilege in Generative AI Workflows via Client-Side ZTDS
    Law Archive · URL: osf.io/preprints/lawarchive/4wc86/
  • Enterprise Compliance Under the EU AI Act and UK GDPR via Ephemeral Client Sanitization
    SSRN Elsevier · SSRN ID: 7335581
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ZTDS Fellow — Ilya Sibiryakov

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