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Safer enterprise data & AI use

Put data to work. Keep its use in control.

WonderShield helps enterprises discover data locally, clarify sensitive information and permission boundaries, and bring controls and evidence to AI, agent and business data use.

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  • Local-first
  • Read-only-first
  • Human responsibility

Customer Alpha · Validated within agreed scope

A clear boundary for data use

Files & knowledge
Databases
Business systems
WonderShield
Discover · Assess · Control · Record

Who / Why / What scope / Until when

AI & agentsAnalytics & business
Product illustration, not a live result

Inside the enterprise

Easier access does not always mean clearer permission.

New uses emerge across documents, databases and business systems.

01

Scattered data, unclear boundaries

Files and systems have different owners. Important, sensitive or restricted information may not be clearly identified.

02

New AI access, new questions

Agents, external models and suppliers need data. Employees may not know what they can provide.

03

Permissions change. Use continues.

After sharing, a change in purpose or a withdrawal, does the original access still apply?

The question is not just what data exists, but who can use which data, under what conditions.

What WonderShield does

From discovering data to accountable use.

Four steps connect governance with everyday business.

  1. 01

    Discover

    Review structured and unstructured data locally within an authorized scope.

  2. 02

    Assess

    Consider sensitivity, purpose, authorization, expiry and withdrawal conditions.

  3. 03

    Control

    Support permission, review, denial or conditional use for the agreed scenario.

  4. 04

    Record

    Keep decision grounds, policy versions, human confirmations, actions and changes.

Explore Product & Delivery

Local environment. Enterprise control.

Keep data local. Bring governance to its use.

Discovery and governance preparation can begin without handing your data to WonderShield.

Local-first
Prioritize the enterprise environment
Read-only-first
Source data stays unchanged by default
No raw uploads by default
Necessary transfers need agreement
Human review
Keep responsibility for high-impact decisions

Enterprise environment

FilesDatabasesBusiness systems
WonderShield local governance

Controlled use within agreed boundaries

AI / Agents / Analytics / Business
Connections, processing and necessary result transfers are confirmed before a demonstration or pilot.

Data is meant to be used

The right data. Under the right conditions.

Governance should support the next use, not end with a risk report.

01

Knowledge for enterprise AI

Review sources, sensitive content and visibility before connecting a knowledge base.

Enterprise knowledgeRAG & AI
02

Data for analysis and action

Clarify fields, purpose and responsibility so requests stay within permission boundaries.

Customer & operational dataAnalytics & agents
03

Data for external collaboration

Confirm recipients, duration and use conditions before an external engagement.

Collaboration dataControlled APIs & sharing

Work with existing business systems, data infrastructure and governance technologies. Keep the investments already in place.

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AI & agent data use

Every request needs a clear basis.

Before data reaches a model or business task, examine the boundaries of this use.

  • Who is calling?
  • For what purpose?
  • Which fields are requested?
  • Is access within scope?
  • Is sensitive data involved?
  • May an external model use it?
  • Is human approval needed?
  • Has consent been withdrawn?

AllowALLOW

Use within confirmed scope

ReviewREVIEW

Resolve conditions or obtain approval

DenyDENY

This request does not meet use conditions

Outcomes depend on agreed rules, connections and scope. Coverage of every system is not assumed.

Rights, purposes & withdrawal

Permission is not permanent.

When conditions change, subsequent use should change with them.

  1. 01Whose data
  2. 02Which purpose
  3. 03What scope
  4. 04Which recipients
  5. 05Until when
  6. 06Whether revocable

Withdrawal or expiry → Review subsequent use → Track related actions and records

Withdrawal affects subsequent use. It does not mean earlier processing can automatically be undone or data erased from every external system.

Evidence & ongoing governance

Know the result. Understand its basis.

Keep the grounds and changes behind data use available for enterprise and professional review.

  • Source
  • Decision grounds
  • Policy version
  • Human review
  • Execution record
  • Withdrawal
  • Change history
  1. Facts
  2. System suggestions
  3. Human confirmations
  4. Professional conclusions

Keep these records distinct. System suggestions are not legal or audit conclusions; professional judgment remains with responsible people and qualified firms.

WonderShield is the international brand of Shanghai Suewonder Data Technology Co., Ltd. Based in Shanghai, we focus on local implementation and enterprise data-use governance.

Meet the Company & Founder

A clear starting point

Start with a small, authorized data scope.

Use a synthetic example first, then agree what to validate. No need to rebuild your systems or upload raw enterprise data to begin.

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