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DATPROF Privacy
Enterprise-grade data masking and synthetic data generation for comprehensive privacy compliance across any database
About DATPROF Privacy
DATPROF Privacy is a comprehensive data masking and synthetic data generation platform designed to protect sensitive information while enabling secure data utilization across enterprise databases. The solution seamlessly integrates with major database platforms including Oracle, DB2, PostgreSQL, Microsoft SQL Server, MySQL, and MariaDB, providing organizations with powerful capabilities to anonymize personal data, create realistic synthetic datasets, and maintain regulatory compliance. By leveraging advanced masking algorithms and intelligent synthetic data generation, enterprises can safely share data for testing, analytics, and development purposes without exposing sensitive information. The platform addresses critical business needs including GDPR, HIPAA, CCPA, and PCI-DSS compliance. AiDOOS enhances deployment through managed infrastructure options, provides governance frameworks for data stewardship, enables rapid integration with existing data pipelines, and scales effortlessly across distributed database environments. Organizations benefit from reduced compliance risk, accelerated time-to-market for new applications, and enhanced data utility for analytics and machine learning initiatives.
Challenges It Solves
- Sensitive data exposure during development, testing, and analytics activities poses regulatory and reputational risks
- Manual data masking processes are time-consuming, error-prone, and difficult to maintain at scale
- Development teams lack access to realistic, usable data for testing due to privacy restrictions
- Compliance with multi-jurisdictional regulations requires complex data governance and audit capabilities
- Legacy database architectures lack native privacy-by-design capabilities
Use Cases
Production Data Sanitization
Safely mask production databases for use in development and testing environments, ensuring developers have realistic data without exposure to sensitive information.
Synthetic Data for Analytics
Generate statistically accurate synthetic datasets that preserve business logic and data relationships while eliminating all personally identifiable information for analytics and AI training.
Third-Party Data Sharing
Securely share anonymized or masked data with external partners, vendors, and cloud services while maintaining compliance and protecting intellectual property.
Regulatory Compliance & Audit
Demonstrate compliance with data protection regulations through comprehensive audit trails, automated masking reports, and policy enforcement documentation.
Disaster Recovery & Business Continuity
Create compliant backup datasets for disaster recovery scenarios that protect sensitive data while maintaining database functionality for testing and failover validation.
Pricing
Pricing available on request
DATPROF Privacy pricing is customized based on your team size, integrations, and requirements. AiDOOS will get you a scoped proposal — for free.
Key Features
Protect sensitive data with context-aware masking algorithms
99.9% data protection with format-preserving encryptionCreate realistic, statistically accurate test datasets
Generate millions of compliant test records in minutesSeamless compatibility across leading enterprise databases
Single platform for Oracle, SQL Server, PostgreSQL, MySQL, DB2Meet GDPR, HIPAA, CCPA, and PCI-DSS requirements automatically
Continuous compliance monitoring and audit reportingAutomatically identify and catalog sensitive information
Discover 95% of PII without manual interventionDefine and enforce consistent masking policies across enterprise
Centralized control with role-based access governanceReviews
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Enterprise Readiness
Integrations
8 total appsNative integration with Oracle RDBMS for direct masking and synthetic data generation at the database level
Full compatibility with SQL Server environments for enterprise data privacy and compliance automation
Seamless integration with PostgreSQL for open-source database privacy and data protection
Native support for DB2 databases with enterprise-grade masking and synthetic data capabilities
Integration with MySQL and MariaDB for web and application database privacy protection
Connect with data integration platforms to apply masking policies throughout data workflows
Integrate with Snowflake, BigQuery, and Redshift for cloud-native data privacy
Export audit logs and compliance reports to security information and event management platforms
AiDOOS Managed Deployment
Deploy DATPROF Privacy in
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
Prerequisites
Configuration Options
A Virtual Delivery Center for DATPROF Privacy
Pre-vetted experts and AI agents in the loop, assembled as a delivery pod. Pay in Delivery Units — universal pricing across roles, seniority, and tech stacks. No hiring, no contracting, no procurement cycle.
- Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
- Refundable on unused Delivery Units, anytime — no questions asked
- Re-delivery guarantee on acceptance miss
- Pre-flight delivery sizing — you see the plan before you commit
How a Virtual Delivery Center delivers DATPROF Privacy
Outcome-based delivery via AiDOOS’s VDC model. Why VDC vs traditional consulting? →
Outcome-Based
Pay for results, not hours
Milestone-Driven
Clear deliverables at each phase
Expert Network
Access to certified specialists