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Risk Categories & Mitigation

Our internal AI Risk Assessment identifies four key risk categories:
  1. Data Privacy Risks
    • Addressed through anonymization, opt-outs from vendor training, and compliance with GDPR, CCPA, and LGPD. 🔗 See: Data Privacy & Protection
  2. Security Risks
    • Mitigated through RBAC, credential security, secure API usage, and regular access audits.
  3. Compliance Risks
    • Managed through fairness audits, vendor license reviews, and legal alignment with EEOC, NY AEDT, and upcoming EU AI Act.
  4. Operational Risks
    • Controlled via human review checkpoints, business continuity protocols, and system monitoring

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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.