Compliance
Risk & Security
micro1 follows a layered security and risk mitigation strategy to ensure the safe, compliant, and reliable use of AI in recruitment. This section summarizes the key categories of risk identified in our internal assessments and how we manage them, in alignment with legal and operational standards.
Risk Categories & Mitigation
Our internal AI Risk Assessment identifies four key risk categories:-
Data Privacy Risks
- Addressed through anonymization, opt-outs from vendor training, and compliance with GDPR, CCPA, and LGPD. š See: Data Privacy & Protection
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Security Risks
- Mitigated through RBAC, credential security, secure API usage, and regular access audits.
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Compliance Risks
- Managed through fairness audits, vendor license reviews, and legal alignment with EEOC, NY AEDT, and upcoming EU AI Act.
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Operational Risks
- Controlled via human review checkpoints, business continuity protocols, and system monitoring
Controls & Response Framework
- Audit Trails: All scoring decisions and human reviews are logged in a secure, machine-readable database.
- Anomaly Review: Scoring anomalies are automatically flagged and escalated for secondary review.
- Incident Protocols: Any AI-related or data handling incidents trigger internal response workflows and leadership escalation.