AI Data Governance
Expert management of user controls, MCP server access, data retention, and consent to ensure your AI systems handle data responsibly and compliantly.
Comprehensive Data Governance
End-to-end management of data flows, access controls, and compliance requirements
User Controls
- Role-based access control (RBAC) implementation
- User permission management
- Access audit logging
- Self-service data controls
MCP Server Access
- Model Context Protocol security
- API access governance
- Integration point monitoring
- Server credential management
Data Retention
- Retention policy enforcement
- Automated data lifecycle management
- Secure data archiving
- Right to deletion compliance
Consent Management
- Consent capture and tracking
- Purpose limitation enforcement
- Consent withdrawal processing
- Audit-ready documentation
User Controls & Access Management
Granular control over who can access what data, how AI systems use personal information, and user-initiated data management actions.
Fine-Grained Permissions
Define exactly what data each user, role, and AI agent can access
Self-Service Preferences
Enable users to manage their own data sharing preferences
Access Reviews
Regular audits of who has access to sensitive data
Emergency Revocation
Instant access removal in case of security incidents
MCP Server Access Governance
Secure management of Model Context Protocol servers, ensuring AI systems only access authorized data sources with proper authentication and monitoring.
- Credential rotation and management for all MCP connections
- Whitelist management for approved data sources and APIs
- Real-time monitoring of data access patterns and anomalies
- Integration security assessments for third-party services
Data Retention & Lifecycle
Automated management of data throughout its lifecycle, from collection through retention to deletion, ensuring compliance with regulatory requirements.
Retention Policy Framework
Consent & Purpose Management
Track and enforce data usage based on user consent and stated purposes, with full audit trails for regulatory compliance.
Collect and document user permissions
Ensure data used only for stated purposes
Complete records for compliance proof
Why Expert Management is Essential
Data governance for AI requires specialized knowledge of regulations, technical implementation, and organizational change management
Regulatory Complexity
Data governance must navigate GDPR, CCPA, HIPAA, and emerging AI regulations like the EU AI Act. Experts understand these requirements and implement controls that satisfy multiple frameworks simultaneously, reducing compliance risk.
Technical Implementation
Implementing effective data governance requires deep technical knowledge of AI systems, data flows, and security controls. Our experts configure systems correctly the first time, avoiding costly mistakes and security gaps.
Cross-Functional Coordination
Data governance touches legal, security, IT, and business teams. Expert management provides neutral facilitation and clear frameworks that get all stakeholders aligned and moving forward.
Continuous Compliance
Regulations evolve, AI systems change, and data flows shift. Managed services ensure your governance keeps pace, with regular reviews, updates, and proactive adaptation to new requirements.
Meet GDPR, CCPA, and industry-specific requirements
Deploy data governance faster than building in-house
Proactive governance prevents unauthorized access
Secure Your AI Data Governance
Let our experts implement and manage comprehensive data governance for your AI systems