What are the best practices for securing data in transit using DLP systems, and how can organizations protect sensitive data during transmission across networks?

How can DLP systems be configured to prevent data leaks via social media platforms, especially in environments where employees may share sensitive information unknowingly?

How do DLP systems handle structured data versus unstructured data, and what challenges arise in protecting both types of data effectively?

What considerations should organizations keep in mind when implementing DLP in environments with a high volume of third-party integrations and external data access?

How can organizations conduct regular reviews of their DLP frameworks to ensure they remain effective, relevant, and up to date with emerging threats?

How can DLP solutions be adapted to protect sensitive data in augmented reality (AR) applications, considering the emerging technologies and unique challenges involved?

What are the risks of over-relying on DLP systems for data protection, and how can organizations balance DLP with other security measures?

What challenges arise when applying DLP in environments with extensive use of open-source software, and how can organizations ensure data security in these contexts?

How can DLP be tailored to meet the unique needs of non-profit organizations, considering their typically limited resources and different data protection needs?

How can DLP policies be designed to accommodate the diverse user groups within an organization, ensuring that data protection requirements are met across different departments?