Conversational Dynamic Data Masking (Conversational DDM) is a core capability of TDM 2.0, designed to simplify how enterprises define, deploy, and govern dynamic data masking across databases and data warehouses — on-premises, in the cloud, and across hybrid environments. This video explains how Conversational DDM removes the complexity of traditional, manual masking configurations by enabling teams to deploy masking rules using a guided, natural-language experience. By aligning masking directly with universal policies, Conversational DDM ensures consistent, policy-driven protection of sensitive production data at scale.
Built for modern enterprises operating across distributed data platforms, Conversational DDM makes advanced data protection accessible without deep technical expertise — ensuring security is applied consistently, accurately, and by design.
Key Highlights
Conversational Policy Deployment
Define and deploy dynamic data masking rules using a guided, natural-language interface.
Policy-Driven Masking
Enforce masking directly from universal policies for consistent protection across platforms.
Enterprise-Wide Coverage
Apply dynamic masking across databases and data warehouses, on-premises and in the cloud.
Reduced Operational Complexity
Eliminate manual rule creation and platform-specific configurations.
TDM 2.0 Integration
Seamlessly integrates with classification, governance, and enforcement within the TDM 2.0 platform.
Scalable Production Data Protection
Protect sensitive production data while maintaining usability for analytics and applications.
What You’ll Learn
What Conversational Dynamic Data Masking is
How conversational interfaces simplify masking deployment
Why policy-driven DDM is critical for enterprise data security
How Conversational DDM improves coverage and consistency
How Conversational DDM fits into the broader TDM 2.0 architecture
Learn More
See how Conversational Dynamic Data Masking simplifies enterprise data protection and delivers consistent, scalable masking as part of TDM 2.0.