Client is one of the largest consumer credit reporting agencies. The client collects and aggregates information for 1 billion+ customers worldwide across retail and business segments.
It operates in 20+ countries in North America, Central and South America, Europe and the Asia Pacific region. It also provides background check services to employers for employee background screening, income verification, employment verification etc.
As part of the employee background checks, prospective employees provided scanned credit card images for verification.
As per the regulatory requirements, PII data on these images was to be redacted and obfuscated images stored for 12 months.
To achieve the requirement, client was looking for an in-premise solution which can process scanned credit card images and can mask card number with high level of accuracy. The current challenges faced in their legacy process were
Based on the high-level requirements, Centelon proposed its flagship solution Metiz PII Manager for masking credit card images.
At the heart of the proposed solution, there is an AI based engine that helps clients to identify the personally identifiable information (PII) data regions and masks these regions for enhanced security. The product works on the underlying Centelon principle of Sense – Predict – Act – Learn
Predict – Predict masking region for the credit card image
Act – Archive masked images from the corresponding channel
Learn – Learn from historical masked images to create / update ML models
Sense – Sense images from multiple source viz. real-time, file, database