News
In Brief
- Collibra acquires Raito to enhance data access governance.
- New features deliver unified governance for data and AI.
- Data leaders gain improved control, access and quality for AI initiatives.
Collibra announced the acquisition of Raito, a data access governance specialist, along with significant updates to its unified governance platform for data and AI today at Collibra Product Premiere events in New York City and Brussels.
According to company officials, the acquisition and platform enhancements aim to address the growing challenges organizations face with fragmented data and AI environments as demand for AI use cases increases.
The expanded platform introduces capabilities for data quality monitoring, lineage tracking and AI model governance, designed to help enterprises maintain visibility and control across their data ecosystems.
Impacted Audiences for Collibra's Governance Platform
- Data engineers and scientists working with AI models.
- Data stewards and governance professionals.
- Enterprise data consumers and business users.
Why AI Governance and Data Quality Matters
The rapid adoption of generative AI has created an urgent need for robust information governance as organizations struggle with fragmented data environments and compliance risks.
Businesses have long grappled with information governance, but AI has added complexity to maintaining data that is accurate, accessible and secure. A recent Acrolinx report found 57% of surveyed Forbes Global 2000 customers view AI tools as risky and 75% have implemented internal regulations. This "wild west" environment forces companies to balance AI innovation against evolving regulatory requirements.
Many organizations contend with "conflicting, duplicated, out-of-date and poorly written information," which becomes especially risky when AI agents use that data to perform complex tasks with limited human oversight.
Collibra, with dual headquarters in New York City and Brussels, has an established history in AI-oriented data governance. Its acquisition of Raito further strengthens its platform with data access controls and security for cloud data products across multi-cloud environments.
Collibra Platform Capabilities
According to Collibra, the unified governance platform addresses fragmentation challenges in enterprise data environments:
| Capability | Description |
| Data Quality Automation | Automated monitoring and rule creation for data quality assurance. |
| Agentless Connectivity | Cloud Sites feature for faster data source connection. |
| Enhanced Data Lineage | Tracking across AWS Glue and Apache AirFlow with OpenLineage support. |
| Data Relationship Visualization | New diagrams for data stewards to visualize connections. |
| Workflow Management | Updated designer for improved organization and revision tracking. |
| Usage Analytics | Snowflake data usage analysis for adoption tracking. |
| AI Copilot | Natural language interface for data discovery and documentation. |
| Data Product Management | Lifecycle tracking with built-in assessments and workflows. |
| AI Model Governance | Single-pane visibility and Microsoft Azure AI Foundry integration. |
Collibra Background
Collibra was founded in 2008 in Brussels, and has secured significant venture capital funding. Key offerings include a data catalog, governance tools, data privacy management and data lineage capabilities. Collibra asserts that its platform supports regulatory compliance and improved data quality across complex IT environments. Integration with major cloud and analytics platforms is a notable feature.
The company operates in the enterprise data management sector, serving organizations with complex data governance requirements. Typical customers include large enterprises in regulated industries such as financial services, healthcare and manufacturing. Collibra positions itself as a solution for chief data officers, data stewards and IT leaders seeking to centralize and enforce data policies at scale.
