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1. Introduction: The Enterprise Data Sharing Dilemma

Enterprises today are more interconnected than ever, yet securely sharing data between organizations remains one of the toughest challenges. Whether it’s supply chains, insurance networks, or financial consortia, companies struggle with: • Lack of data interoperability • Fear of data misuse or breaches • Redundant audits and compliance overhead • Siloed and outdated information pipelines

Blockchain, especially Sui, offers a path forward by enabling verifiable, modular, and permissioned data exchange—with full traceability and logic enforcement baked in.

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2. Why Sui for Cross-Enterprise Data Sharing?

Sui stands out due to its object-centric architecture, scalable design, and support for secure identity verification.

🔍 Sui’s Unique Advantages:

Feature Relevance to Data Sharing Object-based data model Each data packet has a unique identity, lifecycle, and owner Access control via Move Control who can read, write, or modify shared data zkLogin for enterprise ID Authenticate with existing cloud credentials securely Immutable audit logs Full traceability of who shared or accessed data Modular contract logic Tailor data permissions, schemas, and triggers

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3. Real-World Use Case: Manufacturing & Logistics

Let’s examine a scenario where multiple manufacturers and logistics providers need to share shipping status, production quality data, and inventory levels—without compromising privacy or control.

Traditional Problems: • Data silos and delays across systems (e.g., SAP, Oracle) • Mistrust over data accuracy • Inefficient manual reconciliations

Sui-Enabled Solution: • Each shipment becomes a Sui object with a dynamic status • Suppliers, logistics, and retailers have scoped permissions • Events are emitted at every stage: packaged, shipped, delivered • All parties verify states via on-chain queries or off-chain APIs

✅ Result: Real-time visibility with full audit trail, reducing disputes and delivery errors.

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4. Architecture: Building a Cross-Enterprise Protocol on Sui

🔧 On-Chain: • DataObject: encapsulates the shared information (e.g., shipment ID, temperature logs, certs) • AccessControlModule: manages roles and permissions (who can write, view, or transfer ownership) • AuditModule: logs key events, state changes, or metadata updates

🔒 Example Move Snippet:

module logistics::AccessControl { struct Permission has key { data_id: ID, viewer: address, can_edit: bool, }

public fun grant_view_permission(data_id: ID, viewer: address) {
    move_to(&viewer, Permission { data_id, viewer, can_edit: false });
}

public fun update_data(data: &mut SharedData, viewer: &Permission) {
    assert!(viewer.can_edit, "Viewer lacks write permission");
    data.status = "Updated";
}

}

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5. Data Privacy and Zero-Knowledge Identity

Not all data should be visible to everyone. Sui enables selective data exposure through: • zkLogin for authentication without revealing user identity • Encryption of object fields stored on-chain • Off-chain storage pointers for GDPR-sensitive data • Selective permission grants using access tokens or NFT-based credentials

This ensures enterprises can collaborate securely while retaining privacy and control over sensitive data.

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6. Governance Models for Shared Protocols

When multiple organizations co-manage a protocol, it’s essential to define:

Aspect Options with Sui Access Governance Role-based access (admin, reader, editor) Contract Upgrades Multi-sig approvals or DAO-based voting Dispute Resolution On-chain arbitration modules or pause logic Jurisdiction Rules Regional modules with legal context

Move allows you to encode these governance rules as modular contracts, reducing ambiguity and enforcing compliance programmatically.

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7. Case Study: Insurance Consortium Sharing Claims Data

Scenario: Three insurers form a consortium to reduce fraud by sharing claims data.

Problem: • Duplicate claims across companies • Manual reconciliation taking weeks • Legal hurdles for data exchange

Sui-Based Solution: • Shared “ClaimObject” created upon submission • AccessControlModule grants limited read/write access to partner insurers • Events and state changes (e.g., approved, flagged) tracked on-chain • Only anonymized claim data (e.g., car damage + timestamp) is shared

Outcomes: • 35% drop in duplicate claims • Instant validation by partners • Fully auditable claims review process

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8. Cross-Chain and Off-Chain Integration

Sui data-sharing protocols can interoperate with: • Off-chain systems using APIs, oracles, and secure data bridges • Other chains via Sui’s evolving interoperability framework (e.g., LayerZero, Wormhole)

For example, an energy grid can share on-chain carbon credits across both Sui and Polygon, while preserving audit logs in Sui’s storage.

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9. Challenges and Mitigation Strategies

Challenge Sui-Based Solution Legal restrictions on data transfer Use zkLogin + jurisdiction-aware modules Varying tech maturity of partners Build API wrappers and dashboards for low-code access Versioning of shared schemas Use object version control and upgradeable contracts Need for off-chain validation Combine oracles with on-chain event proofs

Sui gives enterprises flexibility to design around real-world constraints, without compromising security or control.

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10. Conclusion: Sui as the Trust Layer for Enterprise Collaboration

Data is the new oil—but only when shared, trusted, and actionable. With Sui, enterprises can: • Encode collaboration logic directly in smart contracts • Control who sees and edits sensitive data • Track, audit, and enforce protocol rules automatically • Build scalable, secure, and privacy-respecting data pipelines

As more industries demand trust-minimized, programmable data exchange, Sui provides the ideal infrastructure for building shared, tamper-proof ecosystems.