We're excited to announce the latest enhancement to MYRA.

As organizations move from experimenting with AI to deploying AI systems in production, one governance challenge is becoming more is understanding the data that AI relies upon.

Organizations are now expected to demonstrate where AI data originates, how it is collected, how it moves between systems, how it is transformed, who is accountable for it, and whether it remains appropriate throughout the AI lifecycle. Without that visibility, it becomes difficult to explain AI outcomes, investigate incidents, assess risk, or demonstrate compliance.

Building on our comprehensive AI Impact Assessment capability, MYRA now includes a powerful Data Provenance Model that enables organizations to document, manage, and demonstrate the complete lifecycle of data used within AI systems.

As organizations implement ISO/IEC 42001 and prepare for increasing regulatory scrutiny, data provenance is no longer simply a data management activity. It has become a core component of AI governance, supporting transparency, traceability, accountability, and defensible decision-making.

The new MYRA Data Provenance Model has been designed specifically to address these challenges.

The model captures comprehensive information across the entire data lifecycle, including:

• Data identity, ownership, and accountability
• Business processes and AI system relationships
• Data classification and regulatory obligations
• Source and destination systems
• Data movement and trust boundaries
• Third-party involvement
• Data transformations and validation activities
• Security controls and secure transfer mechanisms
• Data quality, retention, and deletion
• Risk assessments and treatment decisions
• Monitoring, governance, and periodic reviews
• Direct mapping to applicable controls and compliance requirements

By combining AI Impact Assessments, Data Provenance, Risk Management, and Control Mapping within a single platform, MYRA enables organizations to establish a clear line of sight between AI systems, the data they depend on, the risks they introduce, and the controls used to govern them.

This integrated approach strengthens governance by providing traceability across the AI lifecycle, supporting audit readiness, improving oversight, and reducing the effort required to demonstrate compliance with evolving AI regulations and standards.

Whether your objective is implementing ISO/IEC 42001, preparing for the EU AI Act, demonstrating responsible AI practices, or improving transparency across AI systems, MYRA provides the governance capabilities and evidence needed to support implementation, operational oversight, and certification.

MYRA – Moving beyond AI risk management to complete AI governance.

‍

‍

Need help navigating your risk

Get in touch. We'd love to help.

‍