How does DLP monitor data in motion, such as during email transmissions or file sharing, to detect and block sensitive information being transmitted outside the organization?

What are the limitations of DLP solutions, including issues with detecting encrypted data, scalability in large environments, and managing false positives?

How does DLP manage false positives, ensuring that legitimate business activities are not hindered while maintaining strong data protection policies?

Which industries benefit most from implementing DLP solutions, particularly those dealing with highly sensitive data like healthcare, finance, and legal sectors?

How does DLP protect data at rest, ensuring sensitive data stored on servers or databases is encrypted, monitored, and accessed only by authorized users?

What costs are typically associated with DLP implementation, including software, training, maintenance, and the potential operational impact of monitoring?

How can an organization ensure that sensitive data is protected from unauthorized access or accidental leakage, especially in its digital assets and communications?

How does a Data Loss Prevention system monitor and block the movement of sensitive data across devices, applications, and networks?

Why is it critical for organizations to implement Data Loss Prevention solutions to protect sensitive information, meet compliance standards, and avoid financial and reputational damage?

What types of DLP solutions can organizations deploy, such as network, endpoint, cloud, and content inspection tools, to safeguard their data?