Framework

GDPR

The General Data Protection Regulation remains the world's most influential data protection law. For AI systems, it imposes obligations on automated decision-making, data minimization, fairness, transparency, and accountability — all of which Amanvi tracks as part of a unified compliance program.

Why GDPR matters for AI

AI systems process personal data at scale — training on it, inferring from it, and making decisions about individuals based on it. The GDPR was not written specifically for AI, but its principles apply directly and forcefully to AI deployments. Data protection authorities across Europe have made clear that AI is not exempt.

Organizations using AI must be able to demonstrate that their systems comply with data protection by design and by default, that they have a lawful basis for processing, and that they respect the rights of data subjects — including the right not to be subject to solely automated decisions with significant effects.

Key obligations Amanvi tracks

  • ✓Lawful basis for processing (Art. 6). Every AI system that processes personal data must have a valid lawful basis — consent, contract, legal obligation, vital interests, public task, or legitimate interests. Amanvi documents the basis selected for each system and the reasoning behind it.
  • ✓Data protection by design and by default (Art. 25). Organizations must implement appropriate technical and organizational measures to ensure data protection principles are embedded into processing activities. Amanvi links DPIAs, privacy controls, and system design documentation to each AI system.
  • ✓Data subject rights (Art. 15–22). Individuals have rights of access, rectification, erasure, restriction, data portability, and objection — including the right not to be subject to automated decision-making. Amanvi tracks how each system supports these rights and where exceptions apply.
  • ✓Data Protection Impact Assessments (Art. 35). High-risk processing — including systematic profiling, large-scale use of sensitive data, and extensive automated decision-making — requires a DPIA. Amanvi stores DPIAs as linked evidence and flags systems where one is required but missing.
  • ✓Fairness and lawfulness (Art. 5). Personal data must be processed lawfully, fairly, and transparently. For AI, this means bias testing, fairness assessments, and clear communication about how decisions are made. Amanvi links fairness documentation and testing results to each system.
  • ✓Records of processing activities (Art. 30). Organizations must maintain detailed records of their processing activities. Amanvi's AI inventory doubles as a structured register that satisfies Art. 30 requirements for AI-related processing.
  • ✓Transparency and informed consent (Arts. 12–14). Data subjects must be provided with clear, accessible information about how their data is used. Amanvi tracks privacy notices, consent mechanisms, and transparency reports as linked evidence.

How Amanvi helps

GDPR compliance for AI is not a one-time exercise. It requires continuous monitoring of what data each system uses, whether the lawful basis still holds, and whether subject rights requests are being honored. Amanvi brings all of this into one system of record.

When a data protection authority asks for your records of processing, your DPIAs, or your evidence of data protection by design, Amanvi produces them in minutes rather than weeks. When a data subject exercises their right of access, you can trace every AI system that processes their data and demonstrate how it does so lawfully.