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Privacy & Compliance3/5/20255 min leestijd

Privacy & GDPR for AI Agents in B2B: Compliance, Data Security & Match-AI Approach

GDPR compliance for AI agents, how to do it right? We discuss pitfalls, requirements and how Match-AI implements privacy-by-design in every B2B AI agent.

Ruben HartogPraktische inzichten van Match-AI
Privacy & GDPR for AI Agents in B2B: Compliance, Data Security & Match-AI Approach

AI agents process large amounts of business and personal data, from customer contacts and email correspondence to financial data and HR information. This makes GDPR compliance not optional but required.

5 GDPR Requirements for AI Agents

  • Lawful basis for processing personal data
  • Transparency, data subjects must know about AI processing
  • Data minimization, only process what is strictly necessary
  • Storage limitation, clear retention periods with automatic deletion
  • Security, encryption, access control, audit logging

Match-AI Privacy by Design Approach

  • Full data mapping before implementation
  • EU data infrastructure preference
  • Standard DPA including sub-processors
  • Audit logging for all agent actions
  • DPIA support for high-risk processing
  • Human-in-the-loop checkpoints for automated decisions
Ruben Hartog

Geschreven door

Ruben Hartog

Mede-eigenaar

Gelooft dat je met vandaag de juiste methodes betere resultaten haalt dan met de aanpak van gisteren. Bij Match-AI richt hij zich op financiële en administratieve processen.

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