Data Masking and Tokenization tools have become important solutions for safeguarding sensitive information such as customer details, financial data, healthcare records, and personally identifiable information (PII). These technologies help organizations protect data across development, testing, analytics, and cloud environments while maintaining compliance requirements and minimizing security risks. Which key capabilities should organizations focus on when evaluating data masking and tokenization tools for data protection, compliance, scalability, and business efficiency?