How do regular expressions (regex) play a role in DLP, providing a method for identifying patterns in text, such as credit card numbers or social security numbers, to prevent data leakage?

Can you provide an example of a regex pattern used to detect Social Security Numbers (SSNs), ensuring that SSNs are identified and protected from unauthorized access or sharing?

What are the legal implications of implementing DLP, particularly regarding privacy rights, regulatory compliance, and the potential legal consequences of mishandling sensitive data?

How does DLP support incident response by helping identify and block data breaches in real time, and providing insights for investigation and remediation after an incident?

What are the key differences between DLP and Digital Rights Management (DRM), where DLP focuses on preventing data loss and DRM controls how data is used or shared?

What are the typical use cases for deploying a DLP solution, such as protecting intellectual property, customer data, and sensitive financial information from unauthorized access?

How does data classification play a role in data loss prevention, ensuring that sensitive data is properly identified and protected according to its classification level?

How do DLP policies work in controlling and monitoring the movement of sensitive data within and outside an organization to prevent unauthorized access or leakage?

What are the key elements of a data loss prevention strategy, including policy definition, employee training, technology deployment, and monitoring and enforcement mechanisms?

How can businesses implement an effective data loss prevention strategy, ensuring appropriate measures are in place for data protection, compliance, and security across systems?