E-Commerce Data Privacy

Proactively Securing Consumers’ PII Data

Examples of Covered Standards, Guidelines, and Applications

EDI

  • EDI 810

  • EDI 832

  • EDI 846

  • EDI 850

  • EDI 855

  • EDI 856

  • EDI 860

  • EDI 870 

Applications

  • TriZetto

  • Seibel

  • Salesforce

  • eCommerce Platforms

Retail Regulatory Compliance: CCPA, CDPA, TDPSA, ICDPA, GPC,
GDPR, and Other State-Specific Regulations

Automated Data Discovery

  • Identifies known and shadow data across all environments such as e-commerce platforms and loyalty programs

  • Provides a unified view of data assets, critical for CCPA, GPC, and GDPR

AI-Powered Data Classification

  • Utilizes machine learning, natural language processing, and pattern matching to categorize sensitive consumer data 

  • Enables adaptive access controls, enhancing protection of customer PII, payment card information, and loyalty programs

One-Click Encryption

  • AI discovery locates all sensitive data and provides one-click encryption

  • Calls existing data masking, encryption, and synthetic data solutions for centralized management  

  • 256-bit encryption 

Proactive Risk Mitigation
and Compliance Monitoring

  • Automates discovery of data requiring security measures, addressing the continuous targeted attacks on retail networks 

  • Historical data trends alert to increases or decreases of sensitive data risk exposure

Simplified Data Privacy Management

  • Simplifies data discovery, security, and automation processes and scales as data increases

  • Maintains customers’ trust and loyalty, and brand reputation 

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Discover sensitive data across environments using AI-driven technology and remove error-prone manual processes.

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Protect sensitive data using sophisticated encryption, call masking, or data synthesis solutions with one platform.

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Gain a unified view of data sources across AWS regions for enhanced data security and streamlined cost controls.

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