Protecto offers features such as asynchronous APIs, queuing and audit trails to avoid common hurdles in large scale data masking/de-identification.
Masking large datasets brings challenges that go beyond adding additional infrastructure. Traditional tools like Microsoft Presidio and AWS Comprehend aren’t built for high data volumes, making large-scale masking complex and cumbersome, often resulting in slower processing, bottlenecks, and failures.
FEATURES | PROTECTO | OTHERS |
PII Masking | Advanced, with context retention | Basic, error-prone for unstructured data |
PII Identification Accuracy | Highly accurate | Moderate, requires manual fine-tuning |
Unstructured Data Masking | Context-retaining, semantic accuracy | Prone to errors, loses context |
Latency | Low, optimized for large datasets | High, especially with unstructured data |
Scalability | Auto-scaling based on volume | Limited, needs manual intervention |
Error Handling | Robust with retries | Basic, manual intervention needed |
Asynchronous Processing | Built-in queuing | Limited, extra setup required |
Cost Efficiency | Optimized for GPU/CPU cost-efficiency | Higher costs due to scaling inefficiencies |
High-Volume Performance | High throughput, low latency | Struggles at scale |
ETL Tool Integration | Seamless with Spark, Kafka, etc. | Limited ETL integration |
Infrastructure Costs | Auto-scales to reduce costs | High due to manual scaling |
Protecto delivers scalable, accurate data masking tailored for large enterprise data volumes.
In just one week, Protecto helped the SaaS company cut costs by 90%, achieve 100% compliance, and launch AI features ahead of competitors. The solution streamlined operations with 10X efficiency, reinforcing their reputation as a privacy-first leader.
Deploy Protecto on your servers or consume it as SaaS. Either way, get the full benefits including multitenancy.
Use sync and async APIs to integrate with any part: preprocessing, context data, prompt, or response.
Protecto's architecture scales to process billions of rows or runs lightweight on-edge devices, offering versatility and efficiency.
