
Machine Learning Governance for Secure and Explainable AI Systems
A model gets deployed. Six months later, an audit request arrives. The compliance team wants to know what data trained the model, how it reached its outputs, and who signed off before production. No single team can answer those questions. That is a governance failure, and it is more common than most organizations expect until they experience it firsthand. As


