Case Study: Edmunds.com achieves greater data visibility and security with Amazon Web Services' Amazon Macie

Edmunds Uses Amazon Macie to Increase Data Visibility and Security to Support Millions of Car Shoppers

Edmunds is a leading car-shopping platform serving millions of monthly visitors, managing large volumes of customer and partner data in Amazon S3. To meet compliance and data-governance obligations, the company needed better visibility into where sensitive customer and partner information lived, how it was being accessed and shared, and whether controls were preventing unintentional exposure of PII.

Edmunds deployed Amazon Macie to automatically discover, classify, and visualize sensitive data using machine learning and natural-language processing. Macie’s dashboards and alerts let the team spot anomalies and find shared access credentials in about a minute, giving clearer insight into risk, helping protect user data, and enabling the company to scale and roll out features more quickly.

Edmunds.com

Ajit Zadgaonkar

Executive Director, Infrastructure and Engineering Operations