Dynamic Data Masking
Simple, scalable data access governance
Scale data access policy across your entire organization. ALTR’s dynamic data masking protects sensitive data at runtime with a cloud-native policy engine.
Protect Data Without Slowing the Business
Keep data usable while protecting sensitive values
Enable teams to work with meaningful data while ensuring sensitive information remains consistently protected at runtime.
Apply consistent policies across your environment
Standardize data access rules across users, datasets, and tools to eliminate inconsistencies and reduce governance gaps.
Reduce risk with precise, context-aware access control
Limit exposure by ensuring users only see what they need, based on roles, behavior, and real-time conditions.
Eliminate manual effort with automated policies
Replace fragmented rule management with automated, scalable policies driven by classification, tags, and centralized control.
Key Features
Runtime data masking
Mask sensitive data at query time without altering underlying data, pipelines, or storage structures.
Snowflake-native extension
Build on Snowflake’s native masking with centralized policy management and advanced, policy-driven controls.
Real-time policy enforcement
Apply and update masking policies instantly across all datasets, users, and environments without disruption.
Context-aware access rules
Enforce masking based on time, access patterns, user roles, and query behavior in real-world scenarios.
Tag- and classification-based policies
Automatically apply masking using metadata, tags, and sensitive data classification across all connected datasets.
Column- and row-level controls
Dynamically mask specific fields or restrict entire rows based on user roles and access permissions.
No Matter the Industry, Your Data Is Protected
For organizations working with sensitive data, access can’t come at the cost of security. ALTR’s dynamic data masking ensures the right people see the right data, without slowing down analytics, operations, or decision-making.
Finance
Control access to account numbers, transaction data, and PII while preserving usability for fraud detection, compliance audits, and financial reporting.
Healthcare
Protect patient data and medical records by masking sensitive fields, enabling secure access for care teams while supporting HIPAA compliance.
Retail
Mask customer and payment data to enable secure analytics, personalization, and transactions, without exposing sensitive information.
Government
Restrict access to sensitive identifiers like Social Security numbers and license data, ensuring secure, policy-driven data access across agencies.
Just Ask Our Customers
Q2 relies on ALTR’s dynamic data masking to control how sensitive data is accessed across its platforms. By enforcing role-based visibility and masking PII in real time, Q2 enables secure analytics and data sharing without exposing sensitive information or slowing down operations.
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Frequently Asked Questions
What is dynamic data masking?
Dynamic data masking protects sensitive data at query time by transforming values based on user permissions, without changing the underlying data.
How does ALTR’s dynamic data masking work?
ALTR applies masking policies at runtime using a cloud-native policy engine, ensuring each user sees only the data they’re authorized to access.
Does ALTR replace Snowflake’s native masking?
No. ALTR builds on Snowflake’s native masking capabilities and extends them with centralized policy management and advanced controls.
What types of data can be masked?
ALTR supports masking for sensitive data types like PII, PCI, and PHI, including emails, phone numbers, and financial data.
Can masking policies be updated in real time?
Yes. Masking policies can be updated instantly and applied across all datasets, users, and environments without downtime.
How does ALTR scale masking across large environments?
ALTR uses tags, metadata, and classification to automatically apply masking policies consistently across datasets and pipelines.
Can dynamic masking be combined with other protection methods?
Yes. ALTR integrates masking with tokenization and format-preserving encryption to provide layered, flexible data protection.