What are the most common types of data leaks detected by DLP systems, such as accidental sharing, malicious insiders, or phishing-related breaches?

What is the role of role-based access control (RBAC) in DLP implementations to ensure only authorized personnel can access sensitive data based on predefined roles?

How does DLP contribute to achieving ISO 27001 compliance by enforcing data protection measures that align with the standard’s requirements?

What are the differences between proactive and reactive approaches to DLP, and how can organizations balance prevention with effective incident response?

How can organizations identify gaps in their current DLP frameworks to strengthen policies and improve overall data security measures?

How can DLP policies adapt to new data privacy regulations, ensuring ongoing compliance with evolving laws like GDPR or CCPA?

How does DLP address challenges posed by encrypted traffic in networks, such as inspecting content without compromising security or privacy?

What tools complement DLP to enhance overall data protection, such as SIEM, CASB, or identity and access management (IAM) systems?

How can organizations measure the ROI of their DLP solutions, evaluating cost savings from prevented breaches and improved regulatory compliance?

What are the implications of using AI to automate DLP systems, enhancing detection capabilities but introducing considerations for fairness, accuracy, and transparency?