Ghost data detection

Catch undeclared PII findings before they become privacy drift.

Chameleon records ghost-data findings from configured warehouse scans and turns them into reviewable policy work for data, privacy, and compliance teams.


Why it matters

Scanner findings

Capture findings from configured warehouse scans so suspicious customer-data fields do not live only in logs.

Policy drift

Show when a column, model, or derived identifier needs registration, removal, or review against warehouse policy.

Actionable review

Give each finding a resource, pattern, severity, row context, and recommended action for follow-up.


Chameleon workflow
01 / Scan

Configured scans flag fields that look like undeclared email, phone, identifier, or derived customer data.

02 / Record

Findings are captured with resource, column, pattern, count, and recommended action.

03 / Route

Teams decide whether to register the column, remove source data, or keep aggregate-only handling under review.

04 / Track

Policy status and ghost-data counts remain visible in the demo control plane.


Proof surface
finding: GHOST_DATA
resource: chameleon_dev.stg_users
column: data.email
action: register column or remove source data