Data loss prevention: all-in for data classification?
Data loss prevention and leak mitigation are vital practices to many organisations, to protect and secure the data and to ensure compliance with regulations, for example. Data classification has become a key asset in data loss prevention. Classifying your company data into categories such as ‘sensitive’, ‘confidential’ and ‘personal data’ promises to make data loss prevention easier and simpler.
15 / 02 / 23
13:30
Virtual meeting
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.
Agenda
13:30
Welcome and introduction
Ann Guinée, Communication Manager, Beltug (English)
13:40
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)
14:10
Q&A: Your questions, your experience
14:25
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
14:55
Q&A: Your questions, your experience
15:15
Wrap up & End