ISO 42001 and ISO 27090 AI Management and Security

QMet helps organizations establish strong governance and leadership commitment for AI in line with ISO 42001 requirements. We support defining the scope of the AI management system, AI policy, objectives, roles, and responsibilities across the organization. Leadership involvement ensures AI is aligned with business strategy, ethical principles, and regulatory expectations, enabling effective oversight and accountability.

A key component of ISO 42001 is assessing the risks and impacts of AI systems. QMet assists organizations in building an inventory of AI systems, identifying AI-specific risks, and assessing the potential impact on individuals, groups, and society. Using guidance aligned to ISO 27090, we also help identify security threats specific to AI systems, such as data poisoning, adversarial attacks, model theft, and prompt manipulation, and assess their potential consequences across the AI lifecycle. This analysis forms the foundation for effective AI controls.

Based on risk and impact assessment results, QMet supports the selection and implementation of appropriate AI controls. We help organizations define practical measures for AI data, models, development processes, third-party AI services, and operational monitoring. These controls are designed to complement existing frameworks such as ISO 27001 and ISO 27701, and to be practical, cost-effective, and aligned with organizational risk tolerance and business needs.

QMet supports organizations in preparing for ISO 42001 certification through gap assessments, internal audits, and management review support. We help organizations monitor AI performance, review the effectiveness of controls, and test AI systems against security threats. Findings are used to drive corrective actions and continual improvement, so the AI management system stays effective as technology, threats, and regulations evolve.