Risk. Resilience. Certification.
ISO/IEC 42001
Establish responsible AI governance with ISO/IEC 42001 certification, building a secure, ethical, and reliable AI Management System
Understanding ISO/IEC 42001
ISO/IEC 42001 is the first globally recognised standard defining Artificial Intelligence Management Systems (AIMS). It provides a structured approach for organisations to develop, implement, monitor, and improve AI systems in a secure, ethical, and regulatory-compliant manner. This standard ensures AI technologies align with best practices in risk management, accountability, transparency, and lifecycle governance.
Key Aspects
AI Management System (AIMS) & Governance
Establishes a structured framework for responsible AI development, deployment, and risk-based decision-making, ensuring regulatory alignment.
Risk, Security & Compliance
Integrates AI-specific risk management, addressing bias detection, adversarial threats, data security, and regulatory requirements like the EU AI Act and NIST AI RMF.
Transparency & Explainability
Ensures AI decisions are interpretable, accountable, and free from unintentional bias, reinforcing trust in AI-driven processes.
Lifecycle Oversight
Continuous Improvement defines requirements for model validation, monitoring, ethical AI use, and continuous learning to maintain accuracy and compliance.
Who Needs ISO/IEC 42001 Certification?
This certification is critical for organisations developing, deploying, or managing AI systems, particularly those in regulated sectors handling sensitive data or automating decision-making processes.

AI Solution Developers & ML Engineers
Standardise AI lifecycle governance, from model training to deployment.

Cloud & Data Service Providers
Ensure AI-driven analytics, automation, and security solutions comply with global AI governance frameworks.

Financial & Banking Sector
Implement AI-driven fraud detection, credit scoring, and algorithmic trading with compliance safeguards.

Healthcare & Pharmaceuticals
Govern AI models in diagnostics, drug discovery, and patient data processing while ensuring fairness and privacy.

Autonomous Systems & Robotics
Establish security and safety measures for AI-driven industrial automation, self-driving vehicles, and robotics.

Government & Smart Infrastructure
Ensure AI implementation in policymaking, surveillance, and digital transformation aligns with ethical AI principles.
Certification, Simplified.
Our assessment verify that your management systems comply with the international standards while aligning with your business objectives.
Need to Know
More?
From understanding the scope and requirements to uncovering the benefits that certification brings to your organisation, we’ve got you covered.
We’ve gathered answers to the most frequently asked questions, providing you with clear insights and guidance every step of the way. Whether you’re new to certification or looking for more specific information, our comprehensive FAQ will ensure you have the knowledge you need to make informed decisions and move forward with confidence.
What does ISO/IEC 42001 cover beyond traditional AI governance frameworks?
ISO/IEC 42001 goes beyond general AI guidelines by establishing a formal AI Management System (AIMS), integrating risk-based assessments, security controls, and regulatory alignment into a structured certification framework.
How does this standard ensure AI security and robustness?
The standard mandates AI-specific risk management, covering adversarial attack resistance, anomaly detection, cryptographic security, and continuous model validation.
Is ISO/IEC 42001 applicable to all AI-driven systems?
Yes, it applies to machine learning models, deep learning frameworks, rule-based AI systems, and generative AI, ensuring compliance across all AI applications.
How does this certification align with other standards?
ISO/IEC 42001 integrates with existing compliance frameworks such as ISO/IEC 27001 (Information Security), ISO/IEC 27701 (Privacy Information Management), NIST AI RMF, and the EU AI Act, ensuring seamless governance across multiple regulatory landscapes.
How long does the certification process take?
The timeline varies based on organisational readiness, but typically takes 3 to 12 months, covering AI risk assessment, model validation, governance framework implementation, and final audit completion.

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Global Standards
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