GDPR Compliance for AI Systems
EEA/UK personal data in AI flows implicates minimization (Art. 5(1)(c)), Article 22 safeguards for solely automated significant decisions, and accountability (Art. 5(2)). TuringPulse delivers trace replay, minimization guardrails, and exportable governance evidence.
Right to Explanation
Trace replay shows prompts, retrieval, tools, outputs, and policy checks — concrete information on the logic for data subjects and DPOs.
Data Protection
PII detection and minimization guardrails reduce personal data in prompts, logs, and tools — privacy-by-design defaults.
Accountability
Records of who configured policies, which workflows ran, and what was logged — supervisory audits and Article 30 practices.
Trace Replay for Meaningful Transparency
Recital 71 expects controllers to secure meaningful information about the logic involved, as well as the significance and envisaged consequences. Trace Explorer surfaces the DAG of processing so reviewers see not only the final answer but the pathway that produced it.
- Span-level visibility into LLM, retriever, and tool contributions
- Human-in-the-loop steps visible when overrides occur
- Searchable history for DSAR-related reconstruction workflows
- Exports that legal and privacy teams can attach to case files
Guardrails for PII and Scope
Article 5(1)(c) requires adequate, relevant, and limited personal data. Guardrails detect PII, block oversharing to unapproved tools, and enforce content rules that keep training and logging surfaces proportionate to purpose.
- Runtime checks on inbound user data and model outputs
- Policies scoped per workflow to reflect purpose limitation
- Alerts when minimization rules fire at volume — indicating design drift
- Coordination with retention and deletion schedules in your stack
Records of Processing and Supervisory Review
Article 30 requires controllers to maintain records of processing activities. While the legal record lives in your RoPA tool, TuringPulse supplies the technical counterpart: what automated processing occurred, under which policies, with which outcomes.
- Audit trails aligned to workflows, agents, and policy versions
- Governance dashboards summarizing violations and approvals
- Evidence exports for DPIA updates and regulatory inquiries
- Separation of duties via RBAC for engineering vs. privacy roles
