When databases used for development, testing, and analytics are not containerized and ephemerality is not automated, data and files can get left in cloud environments long after their usefulness. This creates a huge security risk if data continues to be accessible and visible not only to internal teams, but potentially third party vendors, dev/test partners, and hackers threatening to expose personal information and company secrets for ransom.

Join our data compliance experts for a discussion and demonstration on how to:

• Protect data and files through ephemeral compliance containers in Kubernetes environments
• Irreversibly mask PII and sensitive data in both regular storage and object storage in both Azure and AWS
• Ensure referential integrity of masked data across cloud databases

Join our experts to learn how to protect sensitive data from exposure across the multicloud, ensuring compliance with data regulations such as GDPR, GLBA, HIPAA, and CCPA, and also providing cost efficiency and sustainability.