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Data Trace

See what happens to seeded data after you share it.

Configure controlled seeding as an assurance programme: place synthetic records in copies you are entitled to distribute, log communications those seeds receive, preserve the evidence and review the result before release.

Controlled seeding, not surveillance

Monitor synthetic seed identities, not people or third-party systems.

RetailHawk records observations entered by your authorised team. It does not intercept communications, monitor recipients’ systems or continuously watch real individuals.

Synthetic seeds only

Use identities you control for the programme rather than real customer identities.

Authorised distribution

Place seeds only in data you own or are entitled to share under your own terms.

Human evidence logging

Record received communications through the questionnaire and evidence workflow; there is no automated interception claim.

How a trace programme works

Use the programme engine to preserve the evidence trail.

Each recipient copy can be represented as a programme target and assessed through a published questionnaire. That is a configuration pattern, not a dedicated seed-register product model.

Configure

Define the copies, seed references and questions used for the cycle.

Observe

Authorised team members log a received communication with supported screenshot, image or PDF evidence.

Review

A separate reviewer checks the recorded seed/copy reference and approves, returns or rejects the submission.

Example trace finding

A seed points to a copy, not automatically to liability.

If a synthetic seed unique to one distributed copy receives an unexpected message, the reviewed record supports a conversation about that copy. It does not by itself prove how the data reached the sender or who is legally responsible.

Expected use

Record communications that match the purpose and period you expected.

Unexpected use

Record a communication outside the scenario you defined and retain the evidence.

Bounded conclusion

Treat the seed/copy match as evidence for investigation, not an automated attribution verdict.

Responsible programme boundaries

A controlled assurance use case.

Many organisations take their own legal advice before using seed records. RetailHawk provides the programme, evidence and review workflow; conclusions about contractual or legal responsibility remain yours and your advisers’.

No surveillance claim

No monitoring of third-party staff, networks or systems.

No automated source attribution

The platform does not independently infer a source beyond the configuration and evidence entered by your team.

UK hosting

Built and hosted in the UK.

How data seeding works

Give each authorised distribution path a distinct synthetic marker.

Conceptual trace diagram
Master dataset
Seed A / B / C
Separate recipients
Unexpected contact
Evidence log
Investigate origin path

A seed can narrow an investigation to a distribution path; it does not automatically prove wrongdoing, liability or every intermediate transfer.