I build digital trust infrastructure: governance patterns, assurance tooling, and interoperable artifacts for real institutions shipping real systems.
My work sits at the intersection of:
- Verifiable data + identity (credentials, registries, trust lists)
- Assurance + conformance (testability, evidence bundles, auditability)
- AI governance (operational artifacts, risk-tier bindings, runtime controls)
Contributor across Trust Over IP (ToIP) and adjacent standards ecosystems, with a practical bias: if it cannot be implemented and tested, it is just vibes.
A coherent, non-monorepo pathway for teams adopting TRQP with compatibility and combined assurance workflows.
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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
Turning AI governance into reusable packs: templates, matrices, control bindings, and repeatable review methods.
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DPI AI Governance Artifacts
https://github.com/sankarshanmukhopadhyay/dpi-ai-governance-artifacts -
DPI AI Governance Lab
https://github.com/sankarshanmukhopadhyay/dpi-ai-governance-lab
Normative baselines and security profiles that reduce adoption risk and shorten verification cycles.
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Agent Name Assurance Baseline
https://github.com/sankarshanmukhopadhyay/agent-name-assurance-baseline -
ERC-8004 CSP
https://github.com/sankarshanmukhopadhyay/ERC-8004-CSP
The Trust Graph
Essays on digital trust infrastructure, governance-by-design, and verifiable data economies.
https://substack.com/@thetrustgraph
LinkedIn
http://linkedin.com/in/sankarshan
About
https://about.me/sankarshan.mukhopadhyay/
If you are:
- implementing TRQP or trust registries
- building assurance pipelines for verifiable data
- operationalizing AI governance in DPI or public systems
Open a GitHub issue with:
- Your use case in one paragraph
- Your constraints (policy, latency, budget, legal, ecosystem)
- The definition of done you can actually ship
I prefer small, testable increments over big rewrites. High signal beats high ceremony.


