Cognitive PII Data Redaction Case Study

Case Study: Cognitive PII Data Redaction

Machine learning algorithms implemented to redact PII data from millions of emails.

Client:

Multinational Financial Services Company

Services:

Consulting, Managed Services

Industry:

Financial Services

The machine learning model was trained to achieve:

Model Accuracy – 99.54%

Model Precision – 1.000

Model Recall – 0.9900

Model F1 Score – 0.9933

Redacting PII Data contained in millions of emails

Our client, a multinational financial services company, needed to redact PII data contained within millions of emails per week, apply GDPR compliance rules to meet customer preferences, store data in a data lake, and pass the audit trail of metadata before and after redaction.

Solutions & Results

Vaco's team built the cognitive computing framework which applies supervised machine learning algorithms to identify, validate, and redact PII data within TB volumes of emails.
Vaco also developed a scalable GDPR rules engine to handle multi-level compliance scenarios in real-time as well as a robust data stewardship routine to support metadata audit requirements.
The cognitive computing framework delivers automated email scanning for data, identification, and classification of PII data attributes (using ML, CNN, and LSTM technology); comprehension and extraction of relevant information (using ML, DNN, and NLP); GDPR compliance business rules and automatic population of compliant data into an enterprise data lake.
Parses, identifes, and validates PII data within 56 email records at a rate of 450 emails per second.
Reduced development time to 4-6 months versus 9-12 months time (compared to developing from scratch by other onshore and offshore firms).

Success Statistics

By making internal changes to systems and processes our client improved overall business functions resulting in higher customer satisfaction.

0 %

Reduction in Duplicate Data

0 x

Productivity Increase

Client Testimonial

"Everyone in the industry, the studios, other platforms, and even internally, said that this was insane and impossible, even w/ the right tools (which we were still so far from). But right before Thanksgiving of 2014, I'm proud to say we hit 102 countries, and I'm absolutely certain we wouldn't have been able to achieve these results with any other vendor/company. They are the heart of our operations."

We have worked with thousands of clients across a diverse set of industries.