I build digital trust infrastructure: governance patterns, assurance tooling, and interoperable artifacts for institutions deploying verifiable data systems.

The focus is practical.

If a governance idea cannot be implemented, tested, and audited, it is not infrastructure.

My work sits at the intersection of three layers:

• Verifiable identity and data systems
  credentials, registries, trust lists, and interoperable trust frameworks

• Assurance and conformance infrastructure
  testing, evidence bundles, compatibility matrices, and audit artifacts

• Operational AI governance
  risk-tiered workflows, runtime controls, and deployable governance tooling

I contribute to work across Trust Over IP (ToIP), LF Decentralized Trust, UN/CEFACT and adjacent standards ecosystems, with an emphasis on artifacts that real institutions can ship.

                    Digital Trust Infrastructure
                               │
        ┌──────────────────────┼──────────────────────┐
        │                      │                      │
  Trust Registries       Assurance Systems      Governance Artifacts
        │                      │                      │
        │                      │                      │
   TRQP-TSPP           TRQP Conformance Suite    DPI AI Governance Lab
        │                      │                      │
        │                      │                      │
 TRQP Assurance Hub      Evidence Bundles       Governance Templates
        │
        │
 Agent Identity Layer
        │
 Agent Name Assurance Baseline
        │
 ERC-8004 CSP

                               │
               ────────────────┴───────────────
               Trust Systems Meta Model (TSMM)
               shared vocabulary · abstract reference model
               ────────────────────────────────

These repositories collectively explore how trust infrastructure can become testable, auditable, and interoperable across ecosystems.

If you are new to this work, the easiest entry points are:

Start with the implementation and assurance pathway for trust registry deployments.

• TRQP Assurance Hub
  https://github.com/sankarshanmukhopadhyay/trqp-assurance-hub

• TRQP Conformance Suite
  https://github.com/sankarshanmukhopadhyay/trqp-conformance-suite

• TRQP-TSPP
  https://github.com/sankarshanmukhopadhyay/TRQP-TSPP

Together these form a non-monorepo adoption path for TRQP ecosystems.

Operationalizing governance for AI systems interacting with public infrastructure.

• DPI AI Governance Artifacts
  https://github.com/sankarshanmukhopadhyay/dpi-ai-governance-artifacts

• DPI AI Governance Lab
  https://github.com/sankarshanmukhopadhyay/dpi-ai-governance-lab

These projects focus on turning governance concepts into deployable review frameworks and reusable artifacts.

Security profiles and baselines for software agents participating in trust ecosystems.

• Agent Name Assurance Baseline
  https://github.com/sankarshanmukhopadhyay/agent-name-assurance-baseline

• ERC-8004 CSP
  https://github.com/sankarshanmukhopadhyay/ERC-8004-CSP

ERC-8004 is an emerging Ethereum-ecosystem standard for agent identity registration and verification. The CSP (Consumer Security Profile) in this repository defines how relying parties should interpret and handle signals from ERC-8004-conformant agents within a broader trust ecosystem — connecting on-chain agent registration to the assurance and governance expectations defined in ANAB and the TRQP cluster.

This work focuses on reducing ecosystem risk and improving verification cycles for agent identities.

Portable conformance profiles, risk assessment, and assurance artefacts for Decentralized Trust Graph ecosystems.

• DTG Conformance & Assurance (DCAS)
  https://github.com/sankarshanmukhopadhyay/dtg-conformance-assurance

DCAS provides the verifier workflow and repeatable evaluation method used to assess conformance claims across this portfolio, including those produced by the Agent Name Assurance Baseline.

The three operational clusters above share recurring structural patterns: entities and roles, bounded authority, artifacts and claims, policy-governed trust decisions, evidence, and effects. TSMM extracts those patterns into a portable abstract reference model that can be studied and applied across implementations without requiring a specific protocol or profile.

• Trust Systems Meta Model (TSMM)
  https://github.com/sankarshanmukhopadhyay/trust-systems-meta-model

Status: draft reference model, actively developed. Useful for understanding the shared vocabulary and structural assumptions across this portfolio. Not a prerequisite for adopting any of the operational repos — but rewarding for those who want to understand why the portfolio is structured the way it is.

The Trust Graph
Essays on digital trust infrastructure, governance-by-design, and verifiable data economies. Published on Substack.

https://substack.com/@thetrustgraph

LinkedIn
http://linkedin.com/in/sankarshan

About
https://about.me/sankarshan.mukhopadhyay/

If you are:

• implementing trust registries or verifiable data infrastructure
• building assurance pipelines for verifiable data ecosystems
• operationalizing AI governance in public systems

Open a GitHub issue with:

1. Your use case in one paragraph
2. Your constraints (policy, latency, budget, ecosystem)
3. A concrete definition of done

Small, testable increments beat big rewrites.
High signal beats high ceremony.