Compliance & Governance

Last updated: January 2025

Theomax is committed to maintaining the highest standards of compliance and governance in the AI industry. Our comprehensive compliance framework ensures we operate responsibly while delivering innovative AI solutions.

AI Governance & Ethics

Ethical AI Principles

  • • Fairness and non-discrimination in AI outputs
  • • Transparency in AI decision-making processes
  • • Accountability for AI system behavior
  • • Privacy protection in AI interactions
  • • Human oversight and control mechanisms

AI Safety Measures

  • • Content filtering and safety checks
  • • Bias detection and mitigation
  • • Harmful content prevention
  • • Regular AI model audits
  • • User feedback integration

Data Protection & Privacy

GDPR Compliance

  • • Lawful basis for data processing
  • • Data subject rights implementation
  • • Data minimization practices
  • • Cross-border data transfer safeguards
  • • Data breach notification procedures

CCPA Compliance

  • • California consumer privacy rights
  • • Right to know and access personal information
  • • Right to delete personal information
  • • Right to opt-out of data sales
  • • Non-discrimination for privacy choices

Data Security Standards

  • • SOC 2 Type II compliance
  • • ISO 27001 information security management
  • • Encryption at rest and in transit
  • • Regular security assessments
  • • Incident response procedures

Industry-Specific Compliance

Healthcare AI Compliance

  • • HIPAA compliance for health data
  • • FDA guidelines for AI medical devices
  • • Clinical validation requirements
  • • Medical device reporting obligations
  • • Patient privacy protection

Financial Services AI

  • • SOX compliance for financial reporting
  • • Anti-money laundering (AML) requirements
  • • Know Your Customer (KYC) procedures
  • • Financial data protection standards
  • • Regulatory reporting obligations

AI Model Governance

Model Development Standards

  • • Responsible AI development practices
  • • Model validation and testing protocols
  • • Bias detection and mitigation
  • • Performance monitoring and evaluation
  • • Continuous improvement processes

Model Deployment Controls

  • • A/B testing and gradual rollout
  • • Performance monitoring and alerting
  • • Rollback procedures for model issues
  • • Version control and documentation
  • • User feedback collection and analysis

Regulatory Framework

EU AI Act Compliance

  • • Risk-based AI system classification
  • • High-risk AI system requirements
  • • Transparency and documentation obligations
  • • Human oversight requirements
  • • Conformity assessment procedures

US AI Regulations

  • • Executive Order on AI safety
  • • NIST AI Risk Management Framework
  • • State-level AI regulations
  • • Federal AI governance initiatives
  • • Industry-specific AI guidelines

Third-Party AI Model Compliance

Model Provider Standards

  • • OpenAI GPT-4o compliance requirements
  • • Anthropic Claude safety standards
  • • Google Gemini ethical guidelines
  • • TheoMax proprietary model governance
  • • Regular compliance audits

Integration Compliance

  • • Secure API integration standards
  • • Data flow compliance monitoring
  • • Model output validation
  • • Cross-model consistency checks
  • • Provider agreement compliance

Audit & Monitoring

Compliance Monitoring

  • • Real-time compliance monitoring
  • • Automated compliance checks
  • • Regular compliance assessments
  • • Third-party compliance audits
  • • Regulatory change tracking

Reporting & Documentation

  • • Compliance reporting procedures
  • • Regulatory filing requirements
  • • Documentation retention policies
  • • Audit trail maintenance
  • • Stakeholder communication

Training & Awareness

Employee Training

  • • Regular compliance training programs
  • • AI ethics and safety training
  • • Data protection awareness
  • • Regulatory update briefings
  • • Incident response training

Stakeholder Education

  • • Customer compliance education
  • • Partner compliance requirements
  • • Industry best practice sharing
  • • Regulatory engagement
  • • Public transparency initiatives

Incident Response

Compliance Incidents

  • • Incident detection and reporting
  • • Immediate response procedures
  • • Regulatory notification requirements
  • • Investigation and root cause analysis
  • • Corrective action implementation

AI Safety Incidents

  • • AI model malfunction detection
  • • Bias or discrimination incidents
  • • Harmful content generation
  • • Model performance degradation
  • • User safety incident response

Contact & Resources

For questions about our compliance framework or to report compliance concerns:

Compliance Team

Email: compliance@theomax.ai

Hotline: +1-800-THEOMAX

Reports: Report an Issue