#BigQuery #DataSecurity #MageData #BigQuery #DataSecurity #MageData #DataMasking #CloudComputing #GoogleCloud #GCP #CyberSecurity #SensitiveData #DataPrivacy #MultiCloud #Compliance #DataProtection

Overview

Protect Sensitive Data with Dynamic Data Masking (DDM) As organizations scale their data operations, ensuring robust data security and compliance is more important than ever. In this video, we explore how Mage Data enhances Google BigQuery’s native DDM capabilities, making it easier to manage, automate, and scale data masking across hybrid and multi-cloud environments.

Key Takeaways

• No-Code, GUI-Based Implementation – Simplifies data masking without the need for SQL or scripting.
• Multi-Cloud & Hybrid Support – Extends beyond GCP to ensure consistent security across AWS, Azure, and on-premise environments.
• Automated Sensitive Data Discovery – Dynamically detects and masks sensitive information without manual intervention.
• Advanced Masking Techniques – Supports realistic masking, tokenization, format-preserving encryption (FPE), and keyless encryption for enhanced security.
• Compliance-Ready – Ensures adherence to GDPR, CCPA, HIPAA, and other regulations.
• Maximizing GCP Investment – Complements BigQuery DDM to simplify data protection and governance.