ENTRY (Layer-1 Implementation)

Executive Summary

ENTRY required a sovereign, deterministic trust layer embedded at the infrastructure level to enable identity without PII exposure, network-wide compliance logic, standardized attestation governance, explainable AI aligned to protocol controls, and deterministic enforcement at scale. Zekret’s architecture was deployed as a Layer-1 trust substrate, powering network-wide governance and interoperability.

The Challenge

• Identity without PII: network needed trust across applications without handling or distributing personal data.
• Compliance at network scale: rules had to be deterministic, universal, version-controlled, and enforceable.
• Sovereign, explainable AI: models required strict governance, constraints, and local execution.
• No shared trust fabric: developers needed attestations, eligibility indicators, enforcement primitives, and AI insights without data sharing.
• Ecosystem interoperability: apps needed to trust each other’s outcomes without exposing identity or compliance data.

Why Zekret Was Selected

• ✔ Identity governance without PII
• ✔ Deterministic, universal compliance logic
• ✔ Policy Packs for network-wide standardization
• ✔ Sovereign, explainable AI aligned to infrastructure constraints
• ✔ Minimal-disclosure interoperability between applications
• ✔ Real-time enforcement primitives at network scale
• ✔ Fully sovereign deployment within ENTRY

Implementation Overview

1. Identity Credentialing Layer: device-bound, attestation-based credentials with minimal disclosure; no personal data on-chain or shared.
2. Policy Engine as Network Service: Policy Packs for eligibility, sanctions, jurisdictional rules, risk logic, and app-specific requirements—deterministic and shared by all applications.
3. Screening & Risk Intelligence: non-PII sanctions, risk categories, behavioral flags, counterparty evaluation, jurisdictional eligibility—consumable as compliance-state outputs.
4. Federated AI Governance Engine: explainable, policy-constrained AI running in sovereign nodes; deterministic augmentation for compliance and decision-making.
5. Deterministic Enforcement Layer: protocol-level primitives for onboarding eligibility, transaction gating, access rights, cross-application permissions; immutable off-chain logs with no PII.

Architecture Used

• Identity Layer: device-bound credentialing, selective disclosure, structured attestations.
• Compliance Intelligence Layer: non-PII sanctions and risk-state evaluation.
• Policy Engine: universal Policy Packs for network-wide compliance.
• AI Governance Layer: explainable, sovereign AI constrained by policy.
• Enforcement Layer: Allow/Block/Escalate primitives with immutable logging.
• Integration Model: applications consume services via ENTRY’s internal interface; no protocol-level PII.

Outcomes & Impact

• ↳ Network-wide identity verification without data sharing
• ↳ Uniform compliance logic across all ecosystem applications
• ↳ Sovereign, explainable AI for compliant decision support
• ↳ Increased interoperability; easier cross-app trust
• ↳ Faster onboarding and safer user actions via sub-second evaluations
• ↳ Zero PII footprint across the L1 environment

Metrics (Anonymized)