Let’s have a look at the data classification concept, and zoom in on various aspect:

  • Why does an organisation embark on a data classification journey?
  • How can you balance your classification goals with the effort required?
  • Where does change management come into the equation?
  • What is the role of user awareness?
  • How far should you go with automation?
  • etc…

In this session, we’ll start with a look into the real-life data classification story of Ageas. Then, we’ll hear from Zivver about the whys and hows of intelligent, automated data classification.



Welcome and introduction

Ann Guinée, Communication Manager, Beltug (English)


User story: Information classification – a practical approach to data protection

Labelling data and identifying sensitive information is key for effective data security and privacy compliance. Let’s have a look at Ageas’ journey from different perspectives:

  • Where to start?
  • Whom to involve?
  • How far to go?

Iwona Muchin, CISO & DPO, Ageas (English)


Q&A: Your questions, your experience


Why intelligent, automated classification is essential for effectively preventing data breaches and adequately protecting sensitive information

Effective data classification is essential to protect sensitive data by enabling the organisation to apply the right security measures. However, organisations often rely on data labelling done by employees or on automatic classification based on simple rules and glossaries. These methods are unreliable, inefficient and therefore prone to error. In this session, you’ll learn why intelligent, automated classification is essential, and how it can be used in practice.

Rick Goud, founder and CIO, Zivver


Q&A: Your questions, your experience


Wrap up & End

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