Human Resources and People teams handle the most sensitive personal data in the company: salaries, executive bonuses, medical leaves, and Social Security Numbers. Using AI to audit compensation or draft letters requires impenetrable privacy guarantees.
The HR Vulnerability: Exposing Employee Salaries & Social Security Numbers
Employee personal data is fiercely protected under GDPR and labor privacy laws. Pasting compensation spreadsheets, employment contract amendments, or performance reviews into third-party AI models constitutes a direct violation of employee privacy and company confidentiality rules.
In-Flight Redaction of Employee Names, Salaries, and SSNs
GateWall intercepts HR prompts and substitutes employee identities, salary numbers, and Social Security Numbers with deterministic tokens in volatile RAM. The AI generates the required document, and original identities are restored on output.
# HR prompt submitted by payroll manager: "Audit overtime compensation for Thomas Mercier (SSN 1-84-05-75-112-456-89) earning base salary €4,200/month under standard non-compete clause." # What the AI receives in-flight (Zero-Egress): "Audit overtime compensation for ⟪AG:NAME:1:5ab0⟫ (SSN ⟪AG:SSN:1:5ab0⟫) earning base salary €4,200/month under standard non-compete clause." # Restored output delivered to HR: "Audit summary for Thomas Mercier (SSN 1-84-05-75-112-456-89): Overtime adjustment of €350 validated in accordance with labor guidelines."
Complete Peace of Mind for People & Talent Teams
HR teams can safely use frontier models to summarize internal employment policy documents, synthesize annual appraisal trends, and draft personalized onboarding pathways without risking employee trust.
Conclusion
GateWall enables modern HR teams to supercharge their workflows with frontier AI while maintaining total employee data confidentiality.