AI Trust & Compliance
AI Regulation & Frameworks
For organizations, this creates a complex and constantly changing environment, where understanding how different regulations apply is essential to ensure compliance and avoid late adjustments. Companies need to stay informed, monitor regulatory developments, and build governance processes that can adapt as requirements evolve.
In this context, certification plays a key role by providing a structured and auditable way to demonstrate that AI systems are managed responsibly, helping organizations align with regulatory expectations while building trust across markets.
EU Artificial Intelligence Act
The EU Artificial Intelligence Act introduces a risk-based framework for AI systems, with specific obligations for high-risk use cases. Organizations must understand how the regulation applies to their AI systems and how to prepare for enforcement.
Understand the AI ActAI Governance
AI governance has become a critical capability as artificial intelligence systems are increasingly integrated into products, services, and decision-making processes. As regulation evolves across regions, organizations face a fragmented and constantly changing landscape.
In this context, a structured approach is essential to ensure AI systems are developed and used responsibly, with clear processes for risk management, accountability, and transparency. Adopting consistent governance frameworks also helps organizations align with emerging regulatory expectations and build trust in their AI systems across markets.
ISO/IEC 42001 – AI Governance & Risk Management
ISO/IEC 42001 is an AI management system standard that supports AI risk management, governance, accountability and continuous improvement across the AI lifecycle.
Explore AI Governance
Understand how ISO/IEC 42001 supports responsible AI governance and regulatory alignment.
- ISO/IEC 42001 - Webinar
Demonstrate Compliance
Provide independent evidence of AI governance and risk management maturity.