Strategy Mosaic: Trusted Enterprise Data & AI Governance
Your AI is only as trustworthy as the data that powers it. To achieve this, organizations must gain real-time visibility into data model usage, spot anomalies, and maintain comprehensive audit trails for every data action. Continuous monitoring of compliance is essential to optimize cloud usage costs and ensure that AI models rely on trusted, auditable, and contextually aware data.
Achieve Enterprise-Grade Compliance and Governance
Data issues undermine AI accuracy. Solutions like Sentinel ensure that your AI models only access data that meets your organization’s security, compliance, and contextual requirements. This not only aids in achieving smarter and safer AI outcomes but also delivers the semantic understanding necessary for trustworthiness.
Continuous Real-Time Monitoring
With policy-aware data, organizations can track data usage and access in real-time, immediately detecting unusual behavior or sensitive data use. Alerts can be flagged for Personally Identifiable Information (PII), sensitive data access, and anomalous usage patterns, thereby preventing unauthorized individuals from accessing or misusing critical data.
Secure AI Agents
Governance of AI agents is streamlined through a semantic intelligence backbone that provides trusted business logic, governed data access, and rich contextual understanding. Role-based, row-level, and column-level controls ensure that agents only access authorized data, delivering context-aware responses while scaling AI safely with compliant workflows.
Regulatory Compliance
Organizations can automate privacy by design to meet global compliance standards. Strategy data governance enforces principles automatically, addressing core requirements of privacy laws such as GDPR, CCPA, HIPAA, and the emerging EU AI Act.
Audit Readiness and Transparency
For regulatory compliance and transparency, maintaining auditable data dependency and topology mapping is essential. This documentation provides clarity and enables clear, defensible explanations for regulators and customers alike.
Transparency Across BI Tools and Data Lakes
Unifying visibility across Business Intelligence (BI) tools and data platforms is achieved by mapping how dashboards, reports, and workloads draw from underlying data lakes and warehouses. This ensures that data lineage is auditable from source tables through semantic models to each BI artifact.
Usage Analytics for Governance
Transforming usage analytics from a black box into strategic insight is key. Governance-focused analytics reveal which models, sources, and users drive value, allowing for a clear focus on optimization and oversight.
Benefits of Data + AI Governance
- Governed data and AI that fuel growth: Provides the control layer for AI readiness, ensuring models only access governed, context-rich data.
- Unify data governance and transparency: Achieve a single source of truth with consistent policies, higher data quality, and live monitoring.
- Deploy AI confidently: Ensures reliable, explainable AI outputs that align with business rules.
- Stay compliant and protected: Maintain clear policies and access controls to reduce regulatory risk.
- Securely scale across ecosystems: Serve as a trusted connector across your data and AI landscape.
Securely Accelerate AI with Mosaic Data Governance
The Mosaic Sentinel data governance studio allows organizations to define, build, and manage governance rules, ensuring all data used is semantically aware, high quality, compliant, and properly documented.
Risk Management
Proactive centralized monitoring across all data touchpoints transforms compliance from a reactive process into an intelligent, automated practice. This includes granular context, flexible time windows, and audit-ready transparency.
Audit and Compliance
Achieve full transparency across every data action with comprehensive activity logs, sensitive data awareness, and GDPR audit log filters for compliance needs.
Usage Insights
Visibility into model adoption and impact can be enhanced through a comprehensive model inventory that traces data origins and tracks adoption metrics.
Organizations can get their governed and trusted data AI-ready in days, not months, accelerating their data modeling efforts and creating trusted, reusable data products that power every analytics and AI initiative.
For more information, consider requesting a demo.
