TalentHub Global PeopleOps
Sandbox BlueprintHuman Resources & Global Workforce · Headquarters: Toronto, Canada
Organizational Overview & Mandate
Enterprise workforce intelligence suite sanitizing candidate resumes, SSNs, compensation tiers, and evaluation notes locally prior to external AI analysis.
As part of the ZTDS verified ecosystem, TalentHub Global PeopleOps enforces hardware-isolated and in-memory reversible tokenization to eliminate external cloud intermediary leaks before outgoing prompts reach foundation models.
Certified Compliance Scope
GDPR Article 9 special category and Canadian PIPEDA workstation-side de-identification.
- Invariant 1 (Zero WAN Egress): High-risk corporate identifiers and domain entities are masked in local RAM prior to WAN transmission.
- Invariant 2 (Deterministic Tokenization): Syntactic surrogate tokens maintain prompt context for LLMs while private mapping tables remain strictly in volatile memory.
- Invariant 4 (Zero Subprocessor Chain): Eliminates third-party cloud proxy servers and excludes vendor sub-processor liability under GDPR Article 28.
GDPR Article 9 Special Category PII Cleared for AI Interview Analytics
Candidate resumes and interview transcripts contained sensitive health data, diversity disclosures, and national IDs. Processing these on third-party cloud AI violated GDPR Article 9 special category restrictions.
Client-side React and Vue form hooks sanitizing applicant CVs and scorecards in the recruiter's browser before transmission to scoring models.
import { useZTDSField } from '@privacyscrubber/sdk/react';
export function CandidateScreeningForm() {
// Masks GDPR Art. 9 special category PII in browser memory
const { inputProps, sanitizeAndSubmit } = useZTDSField({
rules: ['candidate_medical', 'diversity_data', 'national_id'],
endpoint: '/api/ai-screen-resume'
});
return (
<textarea {...inputProps} placeholder="Paste resume or candidate notes..." />
);
}
100% compliance with Canadian PIPEDA and GDPR Article 9. Allowed continuous deployment of AI candidate screening without requiring individual applicant data processing consent forms.
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