Forwork
Data Trust at Forwork

Data Trust at Forwork | Long-term, transparent work identity protection

Forwork is built to preserve professional data sustainably, support recovery and keep control in the user’s hands.

01

Why data trust matters

Losing professional data is more than losing files. It can mean losing your work history, evidence and accumulated credibility.

01

Projects

Evidence of skills and contribution.

02

Reviews

Trust built through real working relationships.

03

Certificates

Milestones in learning and professional growth.

04

Profile

The link between identity, content and opportunity.

02

Six pillars of data trust

Data should not only be stored. It should be protected, recoverable, understandable and controllable.

01

Protection

Limit access, detect anomalies and apply appropriate safeguards.

02

Backup

Maintain strategic copies and verify their integrity.

03

Recovery

Restore data and reduce impact when incidents occur.

04

Ownership

Users can access, edit, hide, export and delete data under policy.

05

Portability

Data should not be locked inside the platform.

06

Transparency

Explain how data is stored, used, shared and deleted.

03

A transparent data lifecycle

Trust starts when data is created and continues until users export it or request deletion.

01

Create

02

Store

03

Update

04

Back up

05

Recover

06

Export

07

Delete by policy

04

Clear data controls

Users should understand what is stored, why it is stored and what they can do with it.

01

Public data

Profiles, projects and content users intentionally publish.

02

Private data

Drafts, workspaces, unpublished files and private contact details.

03

System data

Account IDs, security logs, audit records and necessary operational data.

Frequently asked questions

Does Forwork store data forever?

It should not promise permanent storage. A responsible statement is that data is designed for long-term storage according to policy and actual operational capabilities.

Can I export my data?

Data portability is a core pillar. Scope, formats and processing times should accurately reflect product capabilities.

What happens when I delete data?

Forwork should explain when data leaves the product, how long it may remain in backups and when legal retention may apply.

Is private data used by AI?

Forwork should disclose what data is processed, for which purpose, by whom and what consent or opt-out controls are available.

What happens if Forwork closes?

Users should receive notice, a reasonable export window and migration guidance so their work identity is not locked in.

Your data should be protected for the long term, recoverable and always under your control.

Trust comes from transparency, resilience, portability and clear responsibility for user data.

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