The chapter delves into the complexities of managing sensitive data, emphasizing the importance of applying masking rules and access controls to prevent security breaches. Discussions include the use of differential privacy, dynamic permission management, and the risks associated with email communication and large language models in data security. The chapter also highlights upcoming data conferences and events focusing on data quality in AI and transitioning roles within the field.
Bart Vandekerckhove (Raito) joins us to chat about data security, and the challenges data teams face when using traditional IAM technology and workflows for data access/security management.