SGS supports compliance with the EU AI Act, Data Act and Cyber Resilience Act through readiness assessments, governance frameworks and independent evaluation. This helps ensure your AI systems meet legal requirements while demonstrating transparency, accountability and regulatory alignment.
As organizations integrate data and artificial intelligence into critical operations, they face increasing risk across safety, compliance, transparency and performance. Evolving regulation, complex data ecosystems and opaque AI models make it difficult to demonstrate that systems are reliable, secure and aligned with global expectations.
We help organizations build and verify trustworthy data and AI systems through SGS DIGITAL TRUST. Our services support the journey from readiness and governance through independent evaluation to certification, helping you demonstrate compliance, manage risk and establish trust across the AI lifecycle.
We recognize that the different AI risks demand specialized safeguards and help you to map your ecosystem against the world’s most rigorous frameworks:
- AI governance and trust
Establish a baseline for responsible AI using the ISO/IEC 42001 (AI Management System), NIST AI Risk Management Framework, and OECD AI Principles.
- Mandatory regulatory compliance
Support alignment with evolving legal requirements such as the EU AI Act, the Data Act and the Cyber Resilience Act (CRA).
- Data integrity and privacy
Secure your training pipelines and user data through GDPR and the ISO/IEC 5259 series for ensuring optimal management and quality of the data used by AI.
- Sector-specific safety
For high-stakes environments, we provide specialized services, such as ISO/PAS 8800 (road Vehicle Safety for AI) and assurance of AI-Enabled Medical Devices.
Organizations need training, gap analysis, independent assurance and certification to demonstrate that their systems are safe, secure and reliable. We help you build trust across your data and AI ecosystem through a structured journey from readiness to evaluation and certification.
Build and demonstrate trust in your data and AI systems
- Establish structured AI governance
We help you define governance frameworks aligned with recognized standards, supporting responsible and controlled AI deployment.
- Identify and reduce risk early
Through readiness assessments and gap analysis, we help you understand risks across data, models and operations before they impact performance or compliance.
- Validate system performance and integrity
Independent testing and evaluation confirm the reliability, robustness and fairness of your AI systems and data pipelines.
- Demonstrate regulatory compliance
We support alignment with evolving regulatory frameworks, enabling you to meet requirements and demonstrate accountability.
- Achieve independent certification
Certification against recognized standards provides verified assurance to stakeholders, customers and regulators.
- Strengthen trust across the lifecycle
Our integrated approach supports continuous oversight, ensuring trust is maintained as systems evolve.
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Why SGS?
We combine our global expertise in testing, inspection and certification with deep capabilities in digital trust. Our independent position ensures objective evaluation of your data and AI systems against internationally recognized standards and regulatory frameworks.
As part of SGS DIGITAL TRUST, we bring together specialists across cybersecurity, data governance, product safety and certification. This integrated approach enables consistent verification across your entire AI ecosystem, supporting trust from design through deployment and ongoing operation.
FAQs
SGS helps establish AI governance using frameworks such as ISO/IEC 42001, NIST AI RMF and OECD AI Principles. This provides structured controls for managing risk, ensuring responsible AI deployment and aligning operations with international best practices.
SGS supports secure data pipelines and data management using GDPR and the ISO/IEC 5259 series. This ensures high-quality training data, protects sensitive information and reduces risks related to bias, data breaches and unreliable AI outputs.
SGS performs independent AI evaluation, including testing for performance, bias, robustness and cybersecurity. Using standards such as ISO 24027 and ISO 24029, this ensures models are reliable, fair and fit for use in real-world applications.
SGS provides certification against recognized standards such as ISO/IEC 42001, ISO/IEC 5259 and ISO/PAS 8800. This gives independent proof that your AI systems meet requirements for governance, safety and data quality, helping build trust with stakeholders and regulators.
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Suite 200, 2nd Floor,
Bloomfield, New Jersey, 07003,
United States