Data Masking Tools
Data masking and synthetic data generation tools for anonymizing sensitive data while preserving utility for testing and analytics.
Browse 53 data masking tools
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Payment tokenization platform that removes sensitive data from business systems.
PCI-compliant data privacy vault enabling multi-payment processor support.
HIPAA-compliant PHI data privacy vault with zero trust architecture.
Field-level data protection via encryption, masking & tokenization for DBs and files.
Scalable PII data masking for high-volume enterprise workloads.
Redacts PII from user inputs before sending to ChatGPT for GDPR/HIPAA compliance.
Salesforce-native data masking tool for sandbox & prod anonymization.
Links asset classification to data protection policies for consistent data security.
FHE-based platform for encrypted AI inference and SQL queries on sensitive data.
ETL & JDBC-based data-at-rest protection with access control & policy mgmt.
Privacy-preserving query platform using FHE to query encrypted, siloed datasets.
On-prem data tokenization, masking & encryption for air-gapped environments.
Unified data protection platform for hybrid on-prem and cloud environments.
Cloud-native data tokenization, masking & encryption for AWS, Azure, and GCP.
Data security platform offering tokenization, masking & encryption per data element.
Data Masking Tools FAQ
Common questions about Data Masking tools, selection guides, pricing, and comparisons.
Encryption transforms data using a key, and the original data can be recovered with the correct key. Data masking irreversibly replaces sensitive data with realistic but fake values (e.g., replacing real names with generated names). Use encryption when you need to access the original data; use masking for test environments, analytics, and sharing datasets where the original values should never be recoverable.
