---
title: Keivan Navaie
type: entity
tags: [researcher, intelligent-networks, privacy-engineering, ai-governance]
affiliation: Lancaster University — School of Computing and Communications
sources: ["[[sources/2025-navaie-iapp-engineering-gdpr-compliance-agentic-ai]]"]
created: 2026-04-27
updated: 2026-04-27
---

# Keivan Navaie

Professor of **Intelligent Networks** at **Lancaster University**, School of Computing and Communications. Background in network systems and data engineering — applies engineering perspective to AI privacy/governance debates.

## Contributions in this wiki

- [[sources/2025-navaie-iapp-engineering-gdpr-compliance-agentic-ai]] — Opinion piece on engineering GDPR compliance for agentic AI systems (IAPP, 8 October 2025). Proposes four runtime controls: purpose locks, execution traces, tiered memory governance, live controller/processor mapping.

## Significance

Provides the **engineering complement** to the legal-doctrinal analysis of [[entities/paul-de-hert]] / [[entities/guillermo-lazcoz]] — translates GDPR's accountability principle into runtime mechanisms that survive agentic AI's plan-rewriting and tool-calling behaviours. Useful for compliance and AI-platform engineering teams operationalising Art. 22 + AI Act obligations.

## Related

Topical neighbours: [[concepts/gdpr-article-22]] · [[concepts/dpia]] · [[concepts/eu-ai-act]] · [[concepts/agentic-bpm]] · [[concepts/agent-process-observability]].