ADVANCED AI/ML MODELS
Our PII Data Redaction product encompasses advanced AI/ML models and algorithms and data accelerators to deliver speed, agility, ease of deployment, and operational efficiency. We use complex algorithms to comprehend and extract relevant information at speed.
DATA ACCELERATOR DRIVEN
Our AI/ML models/algorithms are optimized to take advantage of the data accelerators massive parallel processing capabilities. The NEC Corporation data accelerator used in our product evolved during the past 30+ years from supercomputers and HPC systems.
94.5% ACCURACY
Our AI/ML models/algorithms achieve 94.5% accuracy in identifying, parsing, confirming, and redacting PII data. The models/algorithms process large volumes of data using the data accelerator which reduces the high cost of moving small amounts of data.
BEST IN CLASS DATA MASKING, REDACTION
Our best-in-class products offer customers optimal integration, resulting in faster time to market at the lowest cost.
GDPR, NIST, CCPA, PCI, HIPPA COMPLIANT
Our product’s advanced rules engine ensures GDPR, NIST, CCPA, PCI, HIPPA and other global, federal, and state-level data privacy compliance.
BIG, FAST AND ACCURATE
The data accelerator empowers our product to process the largest volume of data in the shortest possible time, while achieving the highest possible accuracy.
UNSTRUCTURED, SEMI-STRUCTURED AND STRUCTURED DATA
One of the many differentiating advantages for our product is that it redacts sensitive information from unstructured (Emails, PDF, Word, Excel, PowerPoint), semi-structured and structured data.
POLICY UPDATES IN MATTER OF HOURS!
Numerous non-standardized data privacy laws make compliance overwhelming. Our product utilizes optimized AI/ML algorithms and data accelerators to enable policy updates in a matter of hours versus weeks.
LOWER TOTAL COST OF OPERATION
Compared to other solutions, our product help save millions during implementation and 9 to 14 months in time for ROI. Getting corporations compliant and passing audits helps save millions in fines.
