Institutional Considerations

Compliance, trust, privacy, and governance considerations for institutional agent deployments.

Institutional considerations

Compliance by design

ADI Chain is built for regulated environments. For agent infrastructure, that means:

• Private mempool that reduces front-running, sandwiching, and pending-order leakage

• Jurisdiction-aware L3s that enforce local policy while inheriting ADI settlement security

• Ex-ante compliance through integrations such as SettleMint DALP or Zoniqx zCompliance

• Onchain auditability for registrations, trust signals, and validation events

Trust model selection

Institutions can choose a trust model that matches the value at risk.

Value at risk	Recommended trust model	How it works
Low	Reputation only	Trust comes from historical feedback by known counterparties.
Medium	Reputation + TEE attestation	The agent runs in a TEE and the attestation is recorded onchain.
High	Reputation + stake-secured validation	Validators stake capital and face slashing for bad validation.
Maximum	Reputation + zkML + TEE	Multiple independent validation paths reduce trust concentration.

Data privacy

• Registration files can use IPFS or HTTPS URIs

• Sensitive endpoints can stay off the public record and be shared bilaterally

• Detailed feedback context can remain offchain and be referenced by hash

• Validation evidence can point to encrypted payloads with controlled access

• The private mempool reduces transaction visibility during submission

Governance

• ERC-8004 registries are upgradeable through the Diamond Proxy pattern

• Registry-level upgrades are managed by the contract owner

• Agent-level governance remains with token owners and delegated operators

• L3s can extend base registries with jurisdiction-specific logic

• The ADI DLT Framework defines the broader governance and operational control model