Enterprise Risk Posture and Remediation
AI-Powered Risk Management at Your Fingertips.
In today’s turbulent economic climate, consumer trust is the ultimate differentiator. Zubin, our self-service AI-powered data management software, empowers enterprises to navigate the dual challenge of data security and ethical AI. Zubin blends data privacy, security and governance into one cohesive data fabric minimizing risk exposure and ensuring responsible AI, all while fostering data democratization – empowering stakeholders for informed decision-making and true actionability. This translates to a strategic advantage: building trust with stakeholders, fostering responsible innovation, and safeguarding your organization’s data-driven future.
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Executive Visibility and Action
CISOs and executives leverage real-time dashboards with risk and data usage analysis to make informed decisions. Action plans and status updates keep everyone on the same page, ensuring efficient risk mitigation.
Team and Data Owner Accountability
Intuitive dashboards empower teams and data owners to understand data risks and usage within their purview. Real-time updates and reminders ensure proactive data governance.
Next-Level Data Management with AI
Generative AI personalizes data workflows based on compliance policies, streamlining data governance. Metadata analytics uncovers hidden insights for data lifecycle management and usage patterns, supporting data retention and disposal strategies.
Uncovering Sensitive Data
Content analytics powered by AI analyzes data for business-sensitive information and personally identifiable data (PII/PHI). Advanced data classification, tagging, and indexing create a comprehensive data inventory, identifying processed, collected, stored, and shared data.
Efficient and Secure Data Handling
Policy-driven automation handles data movement, migration, and archival across platforms. Statistical sampling ensures representative data analysis, while data minimization removes redundant data based on classification and tags. Secure data sharing fosters collaboration while maintaining compliance.
Enhanced Cloud Data Security
Cloud-integrated risk controls seamlessly identify and manage sensitive data across various repositories. Access control and file re-permissioning enforce security policies, while data containment isolates high-risk data.
Efficient Data Optimization and Archiving
Automated data movement, transformation, migration, and archival across all platforms, both on-premises and cloud-based. Policy-driven data minimization removes redundant data, optimizing storage usage.
A Closer Look at What Makes Us Stand Out
Features
Enterprise Risk Posture and Infra Usage Business
Intelligence and Reporting
Executive dashboard 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
Aggregate data risk reporting and data usage analysis by teams and individual data owners via an intuitive dashboard, enabling visibility, analysis and actionability, with real-time status updates and reminders.
Gen AI Data Policy Creation
and Workflow
Personalized data workflows based on corporate governance and compliance policies created by generative AI.
Metadata Analytics
Metadata discovery for data lifecycle management and usage pattern analysis. Supports data relevance assessment, retention, and disposal policies.
Content Analytics
Content analytics powered by a Data Science Engine, AI/ML, and NLP for business-sensitive and PII/PHI data discovery and classification.
Data Classification
Advanced classification, tagging, and indexing based on metadata and content scan, creating an inventory of processed, collected, stored, and shared data.
Statistical Sampling
Advanced sampling methodologies, selecting representative subsets for metadata and content analysis with executive, team, and user-level insight and reporting.
Data Migration
Policy-driven automated data movement, including migration, replication, transform & sync, and archiving across various platforms, both on-premises and in the cloud - Azure, OneDrive, GCP, AWS, etc. (File to File, File to Object, Object to Object).
Data Minimization
Policy-based data deduplication, detection, and deletion based on metadata discovery, classification, and tagging. Supports data relevance assessment and the implementation of data retention and disposal policies.
Data Archival
File preservation by converting archived files into object format 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 Transform
Facilitates archival, retrieval, and bidirectional conversion (file to object and object to file) with data quarantine capabilities.
Data Tiering and Placement
Accurate data identification, classification, and mapping of physical and virtual data locations. Dynamic allocation of resources and data storage to optimize performance based on usage patterns and requirements.
Cloud Integrated Risk Controls
Integrated with Microsoft Information Protection and Azure Information Protection, effortlessly identify and manage sensitive data located in home shares, SMB shares, and other operational data repositories.
Access Control and
File Re-permissioning
Policy-based file permissions management, including preserving, re-permissioning, open share reporting, and security reassignments via Active Directory and SID Mapping.
Data Sharing
Risk Exposure Insights
Actionable insights using multi-level logical expressions and operators and risk exposure identification through descriptive and diagnostic analytics.
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.
Real-time Notifications
and Reporting
Executive, business unit, line of business, aggregated team, and data owner-wise real-time status updates, notifications, and cascade plans.
Do More with Zubin.
Related Capabilities
Data Security
and Ethical Usage
and Compliance
and Sustainability
and AI Empowerment
Identified and remediated 21K sensitive data files for a Fortune 50 bank, ensuring efficient risk management.
Product Management, IT Services Enterprise
Optimized 80 billion data files for a Fortune 50 U.S. bank, protecting customer privacy and mitigating risks.
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Got Questions? We’ve Got Answers!
Frequently Asked Questions
How does Zubin protect data privacy for ethical AI development?
Many companies worry about data privacy in AI. Zubin addresses this with a comprehensive data management solution. It uses advanced features like risk posture analysis and content analytics to identify and classify business-sensitive and consumer data (PII/PHI). This ensures your AI models are built on data that respects privacy.
How can Zubin help me reduce the risk of data breaches?
How does Zubin prevent unauthorized data access?
How can Zubin help my security team be more efficient?
Is Zubin easy to integrate with my existing infrastructure?
Technical Question
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How can data stakeholders take action using Zubin?
How much does Zubin cost?
Zubin offers flexible pricing plans to suit your organization’s needs. We understand that data management needs vary depending on company size, data volume, and desired features. To get an accurate quote, please contact our sales team at solutions@datdyn.com or visit contact us page. They will discuss your specific requirements and recommend a plan that fits your requirement.
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Do More with Zubin.
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Risk and Usage Based on Data Ownership
and Compliance