Data Privacy

As organizations embark on digital transformation, there is a clear need for data privacy and protection. New and expanded data privacy laws with growing enforcement of user rights for appropriate data use are a challenge for today’s enterprises, which have more data, more applications, and more locations than ever before.

The Data Privacy portfolio helps organizations protect their data in a constantly changing environment. Our data privacy solutions are designed to help you discover personal and sensitive data, understand data movement, link identities, analyze risk, and remediate problems with AI-driven automation.

◢ Gain visibility across available data platforms and types to better understand risk exposure.

◢ Index, inventory, and look up data subjects and identities for transparency into access and use.

◢ Perform continuous risk analysis of personal and sensitive data exposure.

◢ Protect data from unauthorized access and manage data subject access requests with automated orchestration.

Discover, analyze, and remediate data risk with automated controls. Operationalize data privacy governance to help lower risk exposure for cloud modernization, data lakes, customer centricity, and new digital transformation programs. Discover and classify your data, assess risk, monitor suspicious data access and movement, and automate protection and response—all in one solution.

✓ Automates data discovery and classification of personal and sensitive data by analyzing values across fields and metadata in targeted database sources.

✓ Creates simple to complex rules that analyze multiple data domains that would trigger privacy policy compliance violations across available data resources and types.

✓ Allows you to build a subject registry based on metadata-driven intelligence, automate identity mapping, and delegate privacy-related tasks to stakeholders to accelerate compliance response time

✓ Provides advanced subject data reporting with summary and detailed templates and multiple formats, including APIs to third-party solutions and controls for objects (purpose, category, residency, legal hold, etc.); breach impact reporting; request history; and more.

✓ Determines the level of sensitive data risk with multi-factor risk scoring including protection status, data volume, user access, activity, location, data cost, classification, and proliferation.

✓ Provides insight into where sensitive data resides and where it’s being moved or replicated to other data stores and to cloud applications.

✓ Delivers a rich array of dashboard drill-downs to provide enterprise visibility into data risk and relationships.

✓ Automates risk remediation by priority and enables alerts for data access activity. Risk simulation enables impact assessment before implementing privacy controls.

Protects unauthorized access to and disclosure of sensitive, private, and confidential information. De-identify, de-sensitize, and anonymize sensitive data from unauthorized access for application users, business intelligence, application testing, and outsourcing.

✓ Combinations of personal, health, or credit information can be anonymized to comply with complex cross-border privacy laws and regulations.

✓ A range of masking and encryption functions are repeatable across systems to ensure business processes are reliable and precise. Format preservation during encryption ensures that the application data model can stay the same.

✓ Dynamic data masking’s high-speed engine ensures no impact on user throughput. Persistent data masking can scale to mask terabytes of data for large test, outsourcing, or analytic projects.

✓ Based on role and location, dynamic data masking accommodates data security and privacy policies that vary based on users’ locations

✓ Data security and privacy professionals can validate that identified sensitive data has been masked to meet security and privacy policies.

Enable secure, automated provisioning of non-production data sets to meet development and testing needs. Automate provisioning of masked, subsetted, and synthetically generated data to meet the needs of test, development, QA, and privacy teams.

✓ Automate the identification of sensitive data locations for consistent masking within and across databases.

✓ Testers can store, augment, share, and Reuse test datasets to improve their efficiency in testing.

✓ Provision smaller datasets based on test plan requirements. Minimize infrastructure requirements and speed performance.

✓ Provides comprehensive set of masking techniques that can consistently mask data across applications.

✓ Support for packaged applications to ensure application integrity and speed deployments.

✓ Engage compliance, risk, and audit teams to ensure ongoing alignment with data governance initiatives.

Retire legacy systems while retaining reporting access, managing long-term retention, and ensuring compliance. Control data growth in production databases and retire legacy applications, while managing retention, ensuring compliance, and retaining access to business data.

✓ Move archive data to a highly compressed (up to 98 percent), secure data store while preserving source data structures for search and reporting.

✓ Perform keyword searches across archived data, including all unstructured data formats, and save queries for later re-use.

✓ Manage legal holds, defensible disposition, and compliance reporting (including GDPR) across archive data in the Data Vault.

✓ Verify self-signed or publicly trusted certificates with one-way SSL authentication based on the RSA encryption algorithm and TLS 1.2 protocol.

✓ Leverage native application interfaces and/or data visualization capabilities to securely access archive data with SSO authentication.

✓ Reduce the time to validate data integrity between source and retired data with a simple click and save the validation after application retirement.

✓ Connect to all major database types and platforms, including Oracle, Salesforce, SQL Server, Sybase, Teradata, Mainframe, CSV, and XML.

✓ Increase data transfer rates to 160GB/hr with the bulk file uploader and migrate petabytes from your current archive repository to Data Vault.