Sensitive HR transcripts in a shared prompt-tuning document

Risks: the shared document contains SSNs, salaries, and medical-leave reasons, which are high-sensitivity data and not necessary for prompt tuning. The 40-person HR-All analytics group and the contractor's Draft access widen the audience. A shared Draft and Live knowledge base means unreviewed content can leak. Using real transcripts in future prompt tests creates secondary-use and re-identification risk. Immediate containment: remove the shared document, revoke its link and copies, preserve a restricted audit copy, notify privacy and security, restrict analytics access to a named need-to-know group, suspend the contractor's Draft access pending review, and rotate any credentials exposed in transcripts. Stop all prompt-tuning work with real transcripts today. Before go-live: separate Draft and Live knowledge bases, redact or mask PII at ingestion, set retention, implement least-privilege roles, require approval for exports, and use synthetic or fully redacted transcripts for development. The distinction: stop the active exposure today; role redesign and environment separation can follow a documented plan before enablement.

Data minimization: collect only fields the action needs; mask SSN and salary in logs; redact free-text medical reasons at ingestion; tokenize employee IDs. Use synthetic transcripts for prompt work. Access: separate roles for action editors, log viewers, analytics, and administrators; contractor access time-bound with MFA and an approved case; no broad HR-All analytics group. Retention: 30-90 days for conversation logs, purge exports after the task, and no PII in prompt documents. Environment separation: one-way promotion from Draft to Live, locked Live editing, and separate knowledge-base collections. Add DLP scanning for SSN patterns and outbound documents. Verify the watsonx.ai data-processing terms and private-endpoint configuration, but do not rely on contract alone; technical controls must stand. Rationale: reduce blast radius, make access auditable, and prevent sensitive data from being repurposed for model tuning. The control set should be testable: attempt to export a transcript, attempt to view analytics without a role, and verify redaction with a scripted sample.

Treat the shared document as a potential incident, not a housekeeping task. First preserve evidence in a restricted location; do not delete before knowing who accessed it. Determine exposure: document history, sharing links, download logs, recipients, duration, and whether the contractor or broader group opened it. Apply the organization's incident framework: data type and sensitivity, volume, likelihood of harm, contractual and regulatory obligations, and whether notification is required. Consult privacy and legal; this is not an engineering decision. Notify the privacy office and security incident response, document decisions, and set a remediation deadline. For future prompt tests, require a data-protection review and use synthetic data. If notification is required, coordinate messaging with legal and HR; do not contact affected employees from the assistant team. The exam point is to escalate and contain, not to self-judge that it was only internal.