Artificial Intelligence is transforming how organizations analyze, process, and leverage data. Yet, with this transformation comes a new level of responsibility. AI systems depend on vast amounts of sensitive information — personal data, intellectual property, and proprietary business assets — all of which must be handled securely and ethically.
Across industries, organizations are facing a growing challenge: how to innovate responsibly without compromising privacy or compliance. The European Commission’s General-Purpose AI Code of Practice (GPAI Code), developed under the EU AI Act, provides a structured framework for achieving this balance. It defines clear obligations for AI model providers under Articles 53 and 55, focusing on three key pillars — Safety and Security, Copyright Compliance, and Transparency.
However, implementing these requirements within complex data ecosystems is not simple. Traditional compliance approaches often rely on manual audits, disjointed tools, and lengthy implementation cycles. Enterprises need a scalable, automated, and auditable framework that bridges the gap between regulatory expectations and real-world data management practices.
Mage Data Solutions provides that bridge. Its unified data protection platform enables organizations to operate compliance efficiently — automating discovery, masking, monitoring, and lifecycle governance — while maintaining data utility and accelerating AI innovation.
The GPAI Code establishes a practical model for aligning AI system development with responsible data governance. It is centered around three pillars that define how providers must build and manage AI systems.
- Safety and Security
Organizations must assess and mitigate systemic risks, secure AI model parameters through encryption, protect against insider threats, and enforce multi-factor authentication across access points. - Copyright Compliance
Data sources used in AI training must respect intellectual property rights, including automated compliance with robots.txt directives and digital rights management. Systems must prevent the generation of copyrighted content. - Transparency and Documentation
Providers must document their data governance frameworks, model training methods, and decision-making logic. This transparency ensures accountability and allows regulators and stakeholders to verify compliance.
These pillars form the foundation of the EU’s AI governance model. For enterprises, they serve as both a compliance obligation and a blueprint for building AI systems that are ethical, explainable, and secure.
Mage Data’s platform directly maps its data protection capabilities to the GPAI Code’s requirements, allowing organizations to implement compliance controls across the full AI lifecycle — from data ingestion to production monitoring.
GPAI Requirement | Mage Data Capability | Compliance Outcome |
Safety & Security (Article 53) | Sensitive Data Discovery | Automatically identifies and classifies sensitive information across structured and unstructured datasets, ensuring visibility into data sources before training begins. |
Safety & Security (Article 53) | Static Data Masking (SDM) | Anonymizes training data using over 60 proven masking techniques, ensuring AI models are trained on de-identified yet fully functional datasets. |
Safety & Security (Article 53) | Dynamic Data Masking (DDM) | Enforces real-time, role-based access controls in production systems, aligning with Zero Trust security principles and protecting live data during AI operations. |
Copyright Compliance (Article 55) | Data Lifecycle Management | Automates data retention, archival, and deletion processes, ensuring compliance with intellectual property and “right to be forgotten” requirements. |
Transparency & Documentation (Article 55) | Database Activity Monitoring | Tracks every access to sensitive data, generates audit-ready logs, and produces compliance reports for regulatory or internal review. |
Transparency & Accountability | Unified Compliance Dashboard | Provides centralized oversight for CISOs, compliance teams, and DPOs to manage policies, monitor controls, and evidence compliance in real time. |
By aligning these modules to the AI Code’s compliance pillars, Mage Data helps enterprises demonstrate accountability, ensure privacy, and maintain operational efficiency.
Mage Data enables enterprises to transform data protection from a compliance requirement into a strategic capability. The platform’s architecture supports high-scale, multi-environment deployments while maintaining governance consistency across systems.
Key advantages include:
- Accelerated Compliance: Achieve AI Act alignment faster than traditional, fragmented methods.
- Integrated Governance: Replace multiple point solutions with a unified, policy-driven platform.
- Reduced Risk: Automated workflows minimize human error and prevent data exposure.
- Proven Scalability: Secures over 2.5 billion data rows and processes millions of sensitive transactions daily.
- Regulatory Readiness: Preconfigured for GDPR, CCPA, HIPAA, PCI-DSS, and EU AI Act compliance.
This integrated approach enables security and compliance leaders to build AI systems that are both trustworthy and operationally efficient — ensuring every stage of the data lifecycle is protected and auditable.
Mage Data provides a clear, step-by-step plan:
This structured approach takes the guesswork out of compliance and ensures organizations are always audit-ready
The deadlines for AI Act compliance are approaching quickly. Delaying compliance not only increases costs but also exposes organizations to risks such as:
- Regulatory penalties that impact global revenue.
- Data breaches harm brand trust.
- Missed opportunities, as competitors who comply early gain a reputation for trustworthy, responsible AI.
By starting today, enterprises can turn compliance from a burden into a competitive advantage.
The General-Purpose AI Code of Practice sets high standards but meeting them doesn’t have to be slow or costly. With Mage Data’s proven platform, organizations can achieve compliance in weeks, not years — all while protecting sensitive data, reducing risks, and supporting innovation.
AI is the future. With Mage Data, enterprises can embrace it responsibly, securely, and confidently.
Ready to get started? Contact Mage Data for a free compliance assessment and see how we can help your organization stay ahead of the curve.
