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CXEX Global Data Handling Policy Statement

At CXEX, we are committed to upholding the highest standards of data security, privacy, and regulatory compliance across all regions where we operate our SaaS Speech Analytics Platform, AutoInsights. This policy outlines how we handle, protect, and process data to ensure transparency, trust, and adherence to local and international standards.

ISO 27001 Certified

SOC 2 Compliance (2026)

AWS FTR Passed

Our Data Handling Principles

1. Regional Data Residency and Processing

  • AutoInsights is hosted in regional AWS data centers in the USA, UK, Australia, and South Africa
  • All data is processed and stored within the client’s geographic region
  • Pre-processing redaction to remove Personally Identifiable Information (PII)

2. Certifications and Compliance

  • ISO 27001 Certification: Commitment to international standards
  • SOC 2 Compliance: Finalizing certification in 2026
  • AWS Foundational Technical Review: Passed AWS’s stringent benchmarks

3. Automated Compliance Monitoring

  • Utilize Vanta software to manage compliance
  • Automated security monitoring for ISO 27001 and SOC 2
  • Continuous adherence to compliance benchmark

Human Oversight in AI

We employ a Human-in-the-Loop (HITL) process to ensure the accuracy, fairness, and reliability of AI outputs. This involves rigorous testing and validation of AI models (“Listeners”) before deployment and during ongoing operations. Quarterly statistical reviews of client AI models ensure ongoing performance accuracy.

4. Incident Management and Risk Mitigation

  • Incident response protocols aligned with ISO 27001
  • Rapid detection, containment, and resolution of security incidents
  • Regular risk assessments and audits

5. Transparency and Client Control

  • Clients retain full ownership of their data
  • Data use limited to agreed-upon purposes
  • Transparent reporting on AI solution effectiveness

6. Continuous Improvement

  • Regular reviews of data handling practices
  • Alignment with evolving regulations and standards
  • Quarterly statistical reviews of AI models