ZTDS.ai Open AI Security Standard
Cliford Fanyuy

Cliford Fanyuy

Academic Fellow · External Evaluator Empirical Benchmarking Track

Department of Electrical Engineering and Computer Science, University of Missouri (Columbia, MO, USA)

ORCID IDENTIFIER
0009-0002-7369-8289
GOOGLE SCHOLAR
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AFFILIATION
Univ. of Missouri (Mizzou)
EVALUATION SCOPE
Empirical TEE & DLP Benchmarks

Academic Profile & External Evaluation Scope

Cliford Fanyuy is a computer science researcher in the Department of Electrical Engineering and Computer Science at the University of Missouri (Columbia, MO, USA). His academic work focuses on trusted execution environments (TEEs), confidential computing literature, and comparative performance evaluation of distributed systems.

As an External Academic Fellow for the ZTDS AI Consortium, his role is strictly scoped to independent empirical benchmarking, comparative cloud-proxy DLP latency testing, and TEE literature synthesis applied to the pre-existing ZTDS RFC v1.0 protocol and in-RAM reference architecture originated and authored by Founding Fellow & Chief Architect Ilya Sibiryakov.

External Empirical Validation & Benchmarking Tasks

  • Cross-Platform AWS Nitro Enclave Replication: Independently benchmarking PCR0–PCR2 attestation overhead and isolated virtio-vsock transport throughput across Intel Xeon (c6i.xlarge) and AMD EPYC (c6a.xlarge) instances (~418,000 steady-state operations, 0.553 ms mean latency at 1 KiB).
  • Matched Five-Configuration SOTA Evaluation: Executing single-session randomized benchmarks across 300 frozen enterprise documents (1,925 sensitive occurrences, 7,500 trials) comparing ZTDS+ARC (100% protection, 100% authorized restoration, 0.189 ms protection latency) against Casper-default, HaS-label (284× speedup), and fixed redaction (+41.30 pp protection).
  • 10-Vector Return-Path Continuity (ARC) Verification: Running empirical conformance checks to validate forward P1–P6 and return-path P7–P8 security properties, confirming 10/10 adversarial return-path attacks are rejected prior to local dictionary access.
  • Confidential Computing Literature Synthesis: Surveying academic prior art in hardware-attested execution and formatting comparative tables for IEEE peer-review tracks.
Principal Architecture & Inventorship Demarcation

The Zero-Trust Data Sanitization (ZTDS) protocol, deterministic in-RAM reversible tokenization engine, tab-isolated session mapping, attestation-bound session protocol, and formal security invariants (P1–P8) were solely conceived, designed, and architected by Founding Fellow & Chief Architect Ilya Sibiryakov prior to external academic evaluation. External Academic Fellows participate strictly in empirical benchmarking, test-vector execution, and academic literature review.

Academic Benchmarking & Review Tracks

  • Zero-Trust Data Sanitization for Enterprise AI: Client-Side Tokenization with Hardware-Attested Confidential Execution
    Principal Architect & First Author: Ilya Sibiryakov · Co-First Benchmark Contributor: Cliford Fanyuy · IEEE Transactions on Dependable and Secure Computing (TDSC-2026-10-4472)
  • Comparative Throughput Analysis: Client-Side In-RAM Sanitization vs. Legacy Cloud-Proxy DLP
    ZTDS Consortium Empirical Validation Working Track · Based on OSF Baseline (DOI: 10.17605/OSF.IO/5BYJF)
FELLOW BADGE
ZTDS Fellow — Cliford Fanyuy

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Institutional Roles & Profiles

Principal Specification Author
Ilya Sibiryakov
Founding Fellow · Chief Architect
BrandMeWeb · PrivacyScrubber

Originator and sole principal architect of the ZTDS RFC v1.0 specification, in-RAM V8/WASM sanitization engines, and attestation-bound session protocols.

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