CanucktAI
Glossary

AI governance

AI governance is the set of policies, roles, controls, and oversight an organization uses to develop and deploy artificial intelligence responsibly, safely, and in line with the law.

AI governance turns high-level principles — fairness, transparency, accountability, human oversight — into repeatable practices: an inventory of AI systems, documented risk assessments, approval gates before deployment, monitoring in production, and clear ownership when something goes wrong.

It is the connective tissue between emerging rules such as the EU AI Act, management standards like ISO/IEC 42001, and voluntary frameworks like the NIST AI Risk Management Framework. In Canada, it also aligns with the federal government's responsible-AI guidance.

Governance is a program, not a document. Valdra (valdra.ai) operationalizes it — turning inventories, assessments, and controls into a live, auditable system rather than a spreadsheet that goes stale.

Our own compliance

We run our own compliance programme inside Valdra — the product we sell. Our SOC 2, ISO 27001 and ISO 42001 programmes are actively in progress; we do not claim certifications we do not yet hold.

Valdra compliance badge — click to verify
  • PIPEDA
  • Law 25 (Quebec)
  • CASL
  • Data hosted in Canada 🇨🇦
  • AI governance
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AI governance — definition | Canuckt AI