Certification Programs

Industry-recognized AI quality assurance certification levels

CASA Level 1

Foundation

Entry-level certification for AI systems demonstrating basic safety and quality testing. Suitable for early-stage deployments and research systems.

  • Basic safety testing
  • Functional verification
  • Documentation requirements
  • Annual recertification
CASA Level 2

Professional

Professional-grade certification for production AI systems. Requires comprehensive testing, bias detection, and continuous monitoring.

  • Comprehensive QA testing
  • Bias and fairness analysis
  • Red team operations
  • Quarterly monitoring
CASA Level 3

Enterprise

Highest tier certification for mission-critical AI systems. Full compliance with ISO 42001 and NIST frameworks with 24/7 monitoring.

  • Enterprise-grade testing
  • ISO 42001 compliance
  • NIST framework alignment
  • 24/7 continuous monitoring

Certification Process

1
Assessment
Initial system evaluation and testing plan development
2
Testing
Comprehensive QA and red team operations
3
Review
Independent audit and findings analysis
4
Certification
Official certification and documentation
5
Monitoring
Ongoing system performance tracking

International Standards

ISO 42001
International standard for AI management systems. Covers risk management, governance, and continuous improvement processes for AI systems throughout their lifecycle.
NIST AI Risk Management Framework
Framework for AI safety, transparency, and accountability. Provides guidance for identifying, measuring, and managing risks in AI system development and deployment.
BSI Mutual Recognition
International mutual recognition agreement with the British Standards Institution, ensuring certification validity across global markets and regulatory jurisdictions.
CASA Framework
Comprehensive AI Safety Assessment framework with defined levels and measurable criteria for safe AI system deployment and ongoing quality assurance.