Case Study: Edmunds.com achieves increased data visibility and security with Amazon Web Services (Amazon Macie)

Edmunds Uses Amazon Macie to Increase Data Visibility and Security

Edmunds, a leading car information and shopping platform serving millions of visitors each month, stores large volumes of customer, partner, and operational data in Amazon S3. After migrating to AWS, the company needed stronger data governance and visibility for compliance—specifically to classify how S3 data was used, ensure proper access controls, prevent unintentional sharing of PII, and quickly detect exposed credentials.

Edmunds deployed Amazon Macie to automatically discover, classify, and monitor S3 data using machine learning and natural-language processing. Macie’s interactive dashboards and alerts revealed usage patterns and anomalies, let teams locate sensitive data and shared access keys in about a minute, and significantly increased data visibility to reduce risk, protect user data, and support faster business growth.

Edmunds.com

Ajit Zadgaonkar

Executive Director, Infrastructure and Engineering Operations