Community
How will the trust layer work in practise?
Feel free to improve ChatGPT's take:
When credentials are not anchored in law, the missing legal authority must be compensated with community-governed trust frameworks — aka rulebooks. These rulebooks make the credentials verifiable and usable even without legal mandate.
Here’s what’s typically needed:
1️⃣ Governance Rulebook
Defines who’s in charge and how trust is earned and maintained.
This is the backbone: “Who do I trust to issue or verify this credential?”
2️⃣ Semantic & Data Rulebook
Ensures all parties speak the same data language.
This is what makes credentials interoperable and machine-readable across borders and sectors.
3️⃣ Process & Liability Rulebook
Describes how the credential is issued, verified, and revoked — and who is liable if something goes wrong.
This provides the “insurance” that verifiers need before trusting data that’s not legally mandated.
4️⃣ Technical & Security Rulebook
Specifies how the bits flow securely.
This guarantees technical interoperability and trustworthiness.
5️⃣ Business Model & Sustainability Rulebook
Explains why it’s worth joining.
Without this, no ecosystem survives long term — even if the tech works.
6️⃣ Ethics, Privacy & Consent Rulebook
Clarifies rights, duties, and limits of data use.
This prevents “wild west” usage and protects individuals and SMEs.
✅ Summary Table
Rulebook Type
Main Purpose
Typical Owner
Governance
Who can issue/verify and how trust is maintained
Consortium / association
Semantic & Data
What the credential contains and how it’s expressed
Standards body / semantic group
Process & Liability
How it’s issued/verified and who’s responsible
Sector organisation / legal experts
Technical & Security
How it’s technically implemented
Tech WG / wallet implementers
Business Model
How it’s sustained economically
Consortium / funding board
Ethics & Privacy
How data rights and fairness are protected
Data protection officer / ethics board
In short: When legislation doesn’t provide a trust anchor, rulebooks become the de facto law — the social contract of that credential ecosystem. They enable “market-driven” credentials (like proof of training, carbon footprint, posted worker notice, etc.) to achieve legal-grade credibility.
Then about credentials anchored in law - obvious that this easier sector should be feeding credentials without delay:
"Much easier — but not automatic.
When a credential is anchored in law, a big chunk of the heavy lifting is already done — because the legislation itself functions as the ultimate rulebook.
Let’s unpack that:
✅ What’s already solved when credentials are anchored in law
1️⃣ Governance & authority
➡️ Result: No need for a new governance rulebook — the state is the trust anchor.
2️⃣ Process & liability
➡️ You don’t need to negotiate liability; it’s codified.
3️⃣ Semantic & data model
➡️ Semantic alignment is easier — though mapping to verifiable credential (VC) format still requires work. +++this is very important+++
4️⃣ Legitimacy
➡️ That makes onboarding fast and cross-border acceptance possible.
⚠️ What’s still hard, even for legally anchored credentials
1️⃣ Technical harmonisation
2️⃣ Semantic nuance
3️⃣ Transition of legacy systems
4️⃣ Liability chain for verifiers
🧭 In short
Aspect
Non-legislated
Legislated
Must be created via consortium rulebooks
Defined by law / state authority
Legitimacy
Based on community trust
Based on legal authority
Semantic base
Needs to be defined
Usually exists, but may differ per MS
Technical layer
Fully open to define
Still needs standardisation
Liability
Negotiated in rulebook
Anchored in legal framework
Cross-border interoperability
Voluntary trust
Backed by regulation (e.g. eIDAS2)
So: anchored-in-law credentials start from trust and liability already solved — leaving only semantics and technology to standardise. Non-legislated credentials must build all of that from scratch through well-governed ecosystems.
This content is provided by an external author without editing by Finextra. It expresses the views and opinions of the author.
John Bertrand MD at Tec 8 Limited
11 November
Jitender Balhara Manager at TCS
10 November
Dr Ritesh Jain Advisor at WorldBank
Sam Boboev Founder at Fintech Wrap Up
09 November
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