AI Governance & Compliance

Our AI governance practices align with industry-leading frameworks and standards:

• ISO 42001: AI Management System standard for responsible AI development and deployment
• EU AI Act: Compliance with European Union Artificial Intelligence Act requirements for high-risk AI systems
• NIST AI RMF: AI Risk Management Framework alignment for trustworthy AI systems
• NIST Cybersecurity Framework: Security controls aligned with NIST CSF best practices
• Cloud Provider Standards: Alignment with AWS, Azure, and GCP AI governance best practices

We are committed to ethical AI deployment and bias mitigation:

• Bias Detection: Real-time monitoring and detection of algorithmic bias in agent outputs
• Fairness Metrics: Comprehensive fairness assessments aligned with industry standards
• Explainability: AI explainability reports for regulatory audits and transparency
• Human-in-the-Loop: Mandatory human oversight for high-risk agent decisions
• Ethical Guardrails: Built-in ethical constraints and content filtering
• Data Protection: GDPR compliance for EU data protection, with data residency options

Comprehensive audit logging and compliance reporting for AI agent activities:

• All agent workflow executions and decisions logged
• Bias detection events and compliance violations tracked
• User authentication, authorization, and human-in-the-loop approvals audited
• Changes to agent configurations and workflow definitions monitored
• LLM API calls and agent interactions logged for explainability
• Administrative actions and governance policy changes tracked
• Logs retained in accordance with ISO 42001 and EU AI Act requirements
• Exportable audit trails for regulatory compliance