The Challenge
Safeguarding Data While Enabling Advanced Analytics
Albertsons sought to migrate critical data to the Microsoft Azure Cloud to drive personalized marketing and advanced AI/ML programs. However, this initiative posed several challenges:
- Data Security Risks: Protecting PII, PHI, and PCI data across cloud environments was essential.
- Compliance Mandates: Meeting regulatory requirements while ensuring scalability was critical.
- Operational Complexity: Enabling secure, role-based access to massive datasets without workflow disruption.
To overcome these obstacles, Albertsons needed a solution that seamlessly tokenized sensitive data, ensured compliance, and supported advanced analytics.
The Solution
Protegrity Tokenization and Denodo Virtualization
Albertsons deployed a robust security architecture powered by Protegrity and Denodo to enable secure, efficient cloud operations:
- Protegrity Vaultless Tokenization: Sensitive data, including PII, PHI, and PCI, was tokenized upstream, preserving referential integrity for downstream analytics in Snowflake.
- Role-Based Access Control (RBAC): Denodo integrated Protegrity’s features to manage secure access to detokenized data, ensuring only authorized users could interact with sensitive information.
- Work-in-Progress (WIP) Tables: Analysts used WIP tables in Snowflake to securely prepare and materialize result sets. Denodo’s Virtual Query Language enabled dynamic, secure access to clear-text data.
Together, these solutions empowered Albertsons to migrate securely to the cloud and unlock actionable insights.
The Outcome
Trusted Data Driving Innovation
Albertsons’ cloud transformation delivered significant business and technical outcomes:
- Stronger Data Security: Vaultless tokenization protected sensitive data across its lifecycle, meeting stringent compliance standards.
- Optimized Analytics: Analysts accessed tokenized data seamlessly, enabling rapid AI/ML model development and marketing insights.
- Accelerated Cloud Adoption: Protegrity and Denodo facilitated a secure, efficient migration to Azure.
- Enhanced Efficiency: Secure, role-based access reduced complexity and ensured timely data availability for decision-making.
Technology Implementation
The Protegrity Advantage: Scalable Security for Cloud Transformation
Before Protegrity Implementation
- Data Silos: Fragmented systems complicated data integration and security efforts.
- Limited Security Frameworks: Protecting sensitive customer information required a more robust approach.
- Scalability Barriers: Legacy infrastructure hindered real-time analytics and efficient data usage.
With Protegrity
- Seamless Data Integration: Vaultless tokenization enabled secure, accelerated migration of sensitive data.
- Enhanced Security Posture: Safeguarded customer information with compliance-ready solutions.
- Operational Excellence: Streamlined access controls and tokenization simplified data workflows.
- Future-Ready Architecture: Supported AI/ML innovations, advanced analytics, and business growth.
Protecting our customers’ PII data is essential. Protegrity tokenization accelerates our secure transformation while enabling advanced analytics with protected data.