Data Sovereignty Across
Global Data Footprint
In today’s interconnected world, organizations operate across borders, generating vast amounts of data in geographically dispersed locations. This global data footprint presents a significant challenge: ensuring data sovereignty, which refers to a nation’s ability to exert control over the data generated within its borders. Zubin, Data Dynamics’ AI-powered self-service data management software, empowers you to navigate the intricacies of global data sovereignty with confidence. Gain complete visibility into your data landscape, implement effective data localization strategies, demonstrate compliance with regulations, and maintain control over your sensitive data, regardless of its location.
1Comprehensive Data Discovery and Classification
Comprehensive Data Discovery and Classification
Shadow IT, the unauthorized use of cloud services or applications, can lead to sensitive data being stored and accessed outside your control, jeopardizing data sovereignty. Additionally, unstructured data residing in disparate locations across your global footprint can remain unidentified and unclassified, making it vulnerable to unauthorized access.
Mitigate Shadow IT & Identify Sensitive Data with Zubin
Zubin’s metadata and content analytics comprehensively discover and classify sensitive data across your entire data landscape, including shadow IT environments. By meticulously identifying and categorizing data based on sensitivity, regulatory requirements, and business needs, Zubin empowers organizations to gain full visibility and control over their data assets.
2Multi-Layered Risk Assessment and Data Localization
Multi-Layered Risk Assessment and Data Localization
Understanding the risks associated with storing and processing data in different locations is crucial. Varying data privacy regulations across regions require data localization policies. Without proper risk assessment and data localization strategies, you may be inadvertently violating data sovereignty laws.
Prioritize Risks & Implement Controls with Zubin
Zubin’s risk exposure insights assesses data sensitivity and location, identifying potential compliance issues. By prioritizing risks and implementing data localization strategies, Zubin ensures data residency requirements are met while optimizing data storage and processing. Cloud integration further strengthens data control and compliance.
3Data Usage & Audit Trail for Transparent Data Movement
Data Usage & Audit Trail for Transparent Data Movement
Tracking and maintaining a clear audit trail for data movement across borders is essential for demonstrating compliance with data sovereignty regulations. Without this visibility, regulators may question your data handling practices and ability to ensure data remains within desired jurisdictions.
Demonstrate Compliance & Ownership with Zubin
Zubin’s data usage & traceability solution provides a centralized record of all data movement capturing data transfers, destinations, and responsible parties. This fosters trust and simplifies compliance efforts.
4RBAC Down to the Data Owner Layer with Geo-Restrictions
RBAC Down to the Data Owner Layer with Geo-Restrictions
Ensuring only authorized personnel have access to sensitive data, especially when dealing with geographically dispersed data, is a critical challenge. Traditional access controls might not offer granular control over data access based on location.
Empower Data Owners & Enforce Regional Access with Zubin
Zubin’s RBAC (role-based access management) empowers data owners to define precise access permissions based on location. By integrating with cloud storage platforms, Zubin enforces access controls across diverse environments, safeguarding sensitive data.
5Data Observability and Root Cause Analysis with Geo-Insights
Data Observability and Root Cause Analysis with Geo-Insights
Monitoring data usage and detecting anomalies across a global data footprint can be complex. Without this visibility, you may not be aware of unauthorized access or potential data breaches that could compromise data sovereignty.
Monitor Data Usage & Detect Anomalies with Zubin
Zubin’s data observability and root cause analysis provide comprehensive insights into data movement and potential issues. By offering executive dashboards and detailed reports, Zubin empowers organizations to make informed decisions and ensure data compliance.
6Data Governance for Responsible Data Movement and Use
Data Governance for Responsible Data Movement and Use
Without a clear data governance framework, data transfers across borders can be haphazard, potentially violating data sovereignty regulations. Inconsistent data handling practices can also lead to confusion and difficulty in demonstrating compliance.
Align with Sovereignty Frameworks with Zubin
Zubin seamlessly works with your existing data governance framework, empowering you to establish data policies that uphold data sovereignty best practices. Self-service data classifications and migrations empower data owners to manage data according to these policies, streamlining governance and reducing errors.
A Closer Look at What Makes Us Stand Out
Features
Enterprise Risk Posture and Infra Usage Business Intelligence and Reporting
Executive dashboards and reports providing risk and data usage analysis across the enterprise, business units, LOBs, and geographies, complemented by action plans and real-time status updates.
Data Risk and Usage Reporting and Actionability by Team and Data Ownership
Metadata Analytics
Content Analytics
Data Classification
Statistical Sampling
Risk Exposure Insights
Data Containment and Isolation
Quarantining of high-risk sensitive data in secure storage, such as file shares on storage resources or object storage buckets, enhancing data security (lock).
Access Control and File Re-permissioning
Data Policy Creation and Workflow
Personalized data workflows
based on corporate governance
and compliance policies.
Data Sharing
Cloud Integrated Risk Controls
Retention Compliance
Data Redundancy
Self-Service Data Classifications and Migrations
Policy-driven automated data movement, including migration, replication, transform & sync, and archiving across various softwares, both on-premises and in the cloud - SMB, NFS, AWS S3 and OneDrive (File to File, File to Object, Object to Object).
Data Archival
File preservation by converting files into object format by archiving while enabling efficient retrieval via software or RESTful API, audit, and legal discovery, and allowing S3/NFS/SMB-compliant access for compatibility and ease of use.
Data Transformation
Facilitates archival, retrieval, and bidirectional conversion (file to object and object to file) with data quarantine capabilities (transform related).
Data Tiering and Placement
Your Data, Your Rules.
Book a Demo and Let Zubin
Show You How It's Done!
Zubin in Action
Use cases
Visibility Into Existing Unstructured Data Footprint Across All Data Constituents
Risk Identification of Data Exposure With Actionable Resolution
Privacy Management With Intelligent Data Classification for AI Models
Ensuring Data
Sovereignty Across
Global Data Footprint
Data Owner
Empowerment To View
and Act On Their Data
Storage Optimization
and LCM Across Hybrid
Cloud Infrastructure
Self-Service
Data Classifications
and Migrations
Policy-Based Transfer
of Data Ownership To
Avoid ‘Orphan’ Data
Data Dynamics in the Spotlight
News, events, and articles
Your Guide to What’s Next
Insights, Strategies, and Trends to Keep You in the Know
IDC Spotlight Paper – Rethinking Data Security: Improving Privacy and Compliance with a Shared Approach
From the Heart of the CEO: Zubin, Leading the Future of AI-Driven Self-Service Data Management
IDC Spotlight Paper – Rethinking Data Security: Improving Privacy and Compliance with a Shared Approach
From the Heart of the CEO: Zubin, Leading the Future of AI-Driven Self-Service Data Management
Empowering Data Control and Democratization in the Age of AI
Data Quality: A Persistent and Dynamic, Ever-Evolving Challenge, Not Just a One-Time Fix
Navigating the Ethical Landscape of AI in the Modern Age
Empowering Data Control and Democratization in the Age of AI
Data Quality: A Persistent and Dynamic, Ever-Evolving Challenge, Not Just a One-Time Fix
Navigating the Ethical Landscape of AI in the Modern Age
Do More with Zubin
Related Capabilities