The three lines of defense model in AI is a framework for managing risks and ensuring governance in artificial intelligence systems. The first line consists of operational management responsible for implementing and maintaining AI controls. The second line involves risk management and compliance functions that oversee and monitor AI risks. The third line is internal audit, providing independent assurance that AI governance and risk management processes are effective and aligned with organizational objectives.
The three lines of defense model in AI is a framework for managing risks and ensuring governance in artificial intelligence systems. The first line consists of operational management responsible for implementing and maintaining AI controls. The second line involves risk management and compliance functions that oversee and monitor AI risks. The third line is internal audit, providing independent assurance that AI governance and risk management processes are effective and aligned with organizational objectives.
What is the three lines of defense model in AI?
A risk‑governance framework with three roles: (1) the first line—operational AI teams that design, deploy and run AI systems and implement controls; (2) the second line—risk management and compliance that set policies and monitor risk; (3) the third line—independent internal audit that provides assurance to leadership.
What does the first line do in AI risk governance?
The first line consists of AI product teams and operations responsible for building and operating AI systems, applying day‑to‑day controls like data quality, model monitoring, security, privacy, and bias mitigation.
What does the second line do in AI risk governance?
The second line includes risk management and compliance functions that establish AI risk policies, monitor risk exposure, conduct assessments, and ensure adherence to laws, ethics, and governance standards.
What does the third line do in AI governance?
The third line is independent internal audit that provides objective assurance on the effectiveness of the governance framework, including the design and operation of AI controls.