Protecto High-Volume Data Masking is a data de-identification solution designed for large-scale enterprise data processing workloads. It addresses common limitations of generic masking tools — such as high latency, lack of batch processing, manual scaling requirements, and degraded accuracy at volume — through a purpose-built architecture. Key capabilities include: - Asynchronous API support with built-in queuing for batch-based data masking - Dynamic auto-scaling to handle fluctuating data volumes without manual intervention - Context-preserving PII masking for both structured and unstructured text - Low-latency processing optimized for high throughput - Robust error handling with automatic retries - Audit trail generation for compliance and traceability - GPU/CPU cost-efficient architecture to reduce infrastructure overhead The solution can be deployed on-premises or consumed as a SaaS offering, with multitenancy support in both modes. Sync and async APIs allow integration into existing data pipelines at various stages, including preprocessing, prompt handling, and response processing. Protecto positions itself against tools such as Microsoft Presidio and AWS Comprehend, targeting use cases where those tools struggle with volume, accuracy, or integration complexity. A referenced case study describes processing 13 million texts daily for a SaaS company, achieving a reported 90% cost reduction and full compliance within one week.