AI-Ready Governance

Security, compliance, and responsible AI frameworks for enterprise. Build governance that enables innovation rather than constraining it.

Discuss Governance Needs

Why Governance Matters

AI introduces new risks: data breaches, model bias, regulatory non-compliance, and reputational damage. Without proper governance, these risks can derail even the most promising AI initiatives.

Effective governance doesn't slow innovation—it enables it. Clear policies, automated controls, and proper oversight give teams confidence to move fast while staying safe.

80%

Risk reduction with proper governance

60%

Faster model deployment with automated controls

100%

Audit compliance with comprehensive governance

The Four Pillars of AI Governance

Comprehensive governance covering data, models, ethics, and compliance

Data Governance
Ensure data quality, security, and compliance
  • Data catalog and lineage tracking
  • Access control and permissions
  • Data quality monitoring
  • Privacy compliance (Privacy Act, GDPR)
  • Data retention and lifecycle policies
Model Governance
Manage ML model lifecycle and deployment
  • Model registry and versioning
  • Model performance monitoring
  • Bias detection and mitigation
  • Model approval workflows
  • A/B testing and rollback procedures
Responsible AI
Implement ethical AI practices
  • Fairness and bias assessment
  • Transparency and explainability
  • Human oversight requirements
  • AI ethics framework
  • Stakeholder impact analysis
Compliance & Risk
Meet regulatory requirements and manage risk
  • APRA compliance (financial services)
  • Healthcare data regulations
  • Audit trails and reporting
  • Risk assessment frameworks
  • Incident response procedures

Powered by Unity Catalog

Unity Catalog provides centralized governance for all data and AI assets on Databricks

Centralized Governance
  • • Single source of truth
  • • Consistent policies
  • • Cross-cloud governance
Fine-Grained Control
  • • Row and column security
  • • Attribute-based access
  • • Dynamic data masking
Complete Auditability
  • • Full audit trails
  • • Data lineage tracking
  • • Compliance reporting

Implementation Framework

1
Assessment
Evaluate current governance state
  • Audit existing policies and controls
  • Identify compliance gaps
  • Assess risk exposure
  • Review data and model inventory
2
Design
Design governance framework
  • Define policies and standards
  • Establish roles and responsibilities
  • Design approval workflows
  • Create compliance checklists
3
Implementation
Deploy governance technology
  • Implement Unity Catalog
  • Configure access controls
  • Set up monitoring and alerts
  • Integrate with existing systems
4
Training
Enable teams to follow governance
  • Governance training programs
  • Documentation and runbooks
  • Change management support
  • Ongoing support and refinement

Ready to Build Your Governance Framework?

Implement governance that enables innovation while managing risk and ensuring compliance.

Schedule a Consultation Read Our Governance Guide