Data Privacy: A Journey to Sustainability

Available to watch on-demand now

Data privacy is a very complex topic, and most organisations struggle to manage the explosion of data across their corporate networks. What is considered Highly Sensitive, Sensitive, or Confidential is not always clearly defined and communicated. Common misconceptions lead to unintended download and management of sensitive data through tightly restricted access impeding the organisation’s ability to leverage the value of the data.

In this webinar, we shared practical advice on how you can get started on your data privacy; from identifying the existence of privacy data across your corporate landscape to developing an action plan to clean up the data through remediation and strengthening the Data Privacy Framework to increase automation and sustainability.

Additionally, we have covered how solutions such as BigID aids organisation in understanding their Data Inventory Map (DIM), help them to show compliance to the regulatory bodies such as GDPR, PDPC, among others.

Fill out the form on this page to access all of the following session:

Your Three-Part On-Demand Webinar Series:

1. Data Discovery 
   [Richard Malmberg, Consulting Director, Turnkey]

The first part has discussed on how you can use a solution to automate the discovery of sensitive data across the corporate landscape providing the files and locations.

2. Challenges around Data Clean-up 
   [David Mesman, Guest Speaker]

In this session, data privacy and governance expert, David Mesman was interviewed to share his experiences and expertise. The second part is about what next and what it meant for the organisation, do you continue and remove it, and the challenges around it. This part also interviewed an organisation that had been through this journey covering the challenges and benefits of developing an action plan.

3. Sustainable Data frameworks 
   [Rob Tyler, Cybersecurity Practice Director, Turnkey]

The third part had covered about Sustainability, and further elaborated on refining the data privacy framework to ensure roles and responsibilities are clear and defined, processes are repeatable and can be tested, and leveraging technology solutions to manage and highlight exceptions against standard processes.

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