Building an Enterprise AI Governance Model: Securing Data, Automation and Agentic AI
17 July 2026This article explains how organisations can establish a practical AI governance model to adopt generative and agentic AI safely while reducing risks related to data leakage, data loss, cybersecurity, privacy, unauthorised access and automated decision-making. It presents a layered governance framework covering strategy, data, models, applications, process automation, user identity, agent permissions, infrastructure, monitoring and incident response, alongside risk classification, lifecycle controls, accountability roles and a phased implementation roadmap aligned with standards such as ISO/IEC 42001, the NIST AI Risk Management Framework and OWASP guidance.
