Managing Data Minimization & Least Privilege with AutoClassification

Managing Data Minimization & Least Privilege with AutoClassification

On-Demand Webinar

In today’s data-driven landscape, businesses face a dual challenge: harnessing the power of data while safeguarding individual privacy and complying with stringent regulations.

This webinar will dissect the top challenges and considerations confronting organizations in pursuing effective data minimization strategies. From reducing data exposure to balancing data utility and privacy, we will explore the pivotal role of the “least privilege” principle, showcase how this approach aligns seamlessly with ‘traditional’ information governance challenges and offer actionable insights to help your organization thrive in an era where information governance, data privacy and innovation go hand in hand in hand.

Key takeaways:

  • Understanding Data Minimization: Dive into the challenges that enterprises grapple with, from regulatory compliance hurdles to the intricacies of data storage cost management. Gain insights into crafting a data minimization strategy tailored to your organization’s unique needs. 
  • Balancing Act: Utility vs. Privacy: Discover how to strike the right balance between extracting valuable insights from data and respecting individual privacy rights. 
  • Operational Efficiency through Data Lifecycle Management: From data collection to deletion, learn how a structured approach enhances data accuracy, reduces redundancy, and aligns with the principles of data minimization. 
  • Implementing Least Privilege: Delve into the heart of the “least privilege” principle – granting employees only the access they need for their roles. Explore real-world case studies, tools, and strategies to seamlessly adopt this approach while fostering a culture of privacy.