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Elevating Data Governance: Securiti AI and Databricks Unity Catalog

Contributors

Jocelyn Houle

Senior Director of Product Management at Securiti

Raja Perumal

Senior Alliances Manager at Databricks

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This post is also available in: Arabic

The following is a special, co-authored blog with DataBricks featuring Raja Perumal, Sr. Alliances Manager, DataBricks and Jocelyn Houle, Senior Director Product Management Securiti.

Securiti’s integration with Databricks empowers organizations to command their data and AI models by applying consistent, enterprise-wide policies across all data systems. With Securiti, organizations can leverage contextual data insights, automated access intelligence and controls, and AI governance to unlock the power of their data and AI in Databricks.

In this 3 part series co-authored with Databricks Raja Permual, Senior Alliances Manager, we will review:

  • Securiti and Databricks for Data Governance
  • Securiti and Databricks for Data Ingestion
  • Securiti and Databricks for Building Safe Enterprise AI

Enterprises know that data governance is the key to the safe use of data for analytics and AI.  Enhanced data governance with Securiti and Databricks empowers enterprises to confidently navigate complex data landscapes, ensuring their Databricks data assets and entire data estate across hybrid, multi-cloud and on-prem resources are well-governed, secure, and primed for driving business value. Forward-thinking organizations implementing Securiti AI and Databricks together will realize these benefits.

The Securiti AI and Databricks Unity Catalog integration elevates and automates data governance. It provides enterprises with a holistic view of their data landscape, enabling granular access controls and real-time policy enforcement. This partnership empowers organizations to confidently leverage their data for analytics and AI while ensuring compliance and security across their entire data estate." - Raja Parmul, Product Lead Unity Catalog

Contextual Intelligence for Informed Governance

By enriching Databricks Unity Catalog with Securiti's contextual data intelligence, the partnership provides data stewards and governance teams with a 360-degree view of their data landscape. Securiti’s DataAI Command Graph™ and AI Intelligence™  modules enrich the Unity Catalog, enabling more informed decision-making, policy creation, risk assessment, and governance strategy formulation. Use cases include:

Contextual Intelligence

Unstructured Data Intelligence and Management

Contextual insights for unstructured data from all key perspectives is a baseline need for full data utilization and safe use of AI. Securiti's Unstructured Data Intelligence capability significantly enhances the Unity Catalog by handling the complexities of unstructured data. The partnership addresses the critical gap in traditional data catalogs, which often focus primarily on structured data. By incorporating unstructured data intelligence, organizations can now have a holistic view of their entire data landscape within Unity Catalog, improving compliance, reducing risks, and unlocking the full potential of their data for innovation and strategic advantage.

Unstructured Data

Holistic Data Governance Framework

Securiti's DataAI Command Graph™ integrated with Unity Catalog, creates a holistic governance framework. Securiti's DataAI Command Graph™ serves as the single source of truth and captures metadata and relationships across data systems, AI models, entitlements, policies, and regulations. This unified approach ensures that governance policies are not just documented, but actively enforced across the entire data lifecycle within the Databricks environment and across the entire data estate. It bridges the gap between policy creation and implementation, a common pitfall in many governance initiatives.

Holistic Data Governance

How it Works

Enhanced Data Discovery and Classification

Effective governance starts with knowing your data. Securiti's Data Discovery and Classification augments Unity Catalog's capabilities. It uses machine learning and out-of-the-box classifiers to find sensitive data in both structured and unstructured systems. The platform's NLP techniques and exact data matching improve classification accuracy, providing a robust foundation for governance policies in Databricks environments. This expansion allows for more nuanced and accurate classification of sensitive data across structured and unstructured sources, forming the foundation for robust governance policies and effective search patterns.

Granular Access Controls

Perhaps the most transformative aspect of this partnership is the ability to set sophisticated access policies in Securiti and have them seamlessly enforced in Unity Catalog. Securiti's Data Access Intelligence and Access Controls module enables sophisticated policy setting. These policies are then automatically enforced in Unity Catalog for Databricks. The system maps relationships between users, roles, and permissions, allowing organizations to implement least privilege access effectively within Databricks. This granular control down to the element level allows organizations to implement the principle of least privilege effectively, ensuring that data access is aligned with business needs and compliance requirements.

Granular Access

Real-time Policy Enforcement

Gone are the days of retrospective governance checks. The integration enables real-time enforcement of data policies at the point of access. The Policy Framework in Securiti enables real-time enforcement of data policies at the point of access within the Unity Catalog. This is achieved through centralized policy management that can be applied across various data systems, including Databricks, ensuring proactive governance. This proactive approach not only enhances security but also ensures that governance is an integral part of data utilization rather than an afterthought.

Cross-Border Data Intelligence

Securiti's Cross-Border Data Intelligence provides crucial insights for global data governance to Databricks users. Security’s DataAI Command Graph™ identifies data of residents stored in locations that might violate internal policies or global cross-border laws. The system uses a rich library of global regulations on data sovereignty, automatically applying these rules to data in the Unity Catalog. This integration allows organizations using Databricks to easily visualize and manage cross-border data issues, ensuring compliance with complex international data regulations.

Cross-Border Data

Automated Compliance Management

The partnership brings Securiti's Compliance Framework directly into the Databricks ecosystem. Securiti's Compliance Management module brings a to the Databricks ecosystem. With over 1000 pre-defined tests mapped to various frameworks like GDPR, CCPA, and the EU AI Act, it continuously assesses compliance status, identifies gaps, and suggests remediation steps. This integration automates the complex task of aligning data usage with various regulatory requirements.

Collaborative Governance Model

The integrated solution fosters a collaborative approach to data governance. It breaks down silos between data, security, privacy, and compliance teams by providing a common platform. Securiti's Remediation Framework (Case Management) fosters collaboration by centralizing issue management across various modules. It allows key stakeholders to investigate and collaborate securely within the Databricks ecosystem, promoting consistent governance practices. This shared view promotes consistent governance practices across the organization and facilitates a culture of data responsibility.

Scalable Governance for AI and Analytics

As organizations scale their AI and analytics initiatives, governance complexities grow exponentially. Securiti’s AI Security & Governance module helps discover and catalog AI models, assess AI risks, and map models to data sources within Databricks. Comprehensive AI Governance ensures that governance practices evolve in tandem with advancing AI capabilities, maintaining the delicate balance between innovation and control.

Measurable Governance Outcomes

The enhanced Unity Catalog now offers improved reporting and analytics on governance metrics. Securiti's Reporting Framework integrates those reports and enables custom report building for various personas. It pulls insights from multiple modules, allowing organizations to track policy effectiveness, monitor access patterns, and measure compliance, providing tangible evidence of governance success. Now, organizations can track policy effectiveness, monitor access patterns, and measure compliance levels, providing tangible evidence of governance success and areas for improvement.

Conclusion

Securiti AI and Databricks Unity Catalog evolve siloed data tools into a comprehensive governance command center for the full data estate. The tight integration addresses the full spectrum of governance needs—from discovery and classification to access control and compliance—ensuring that data governance becomes a business enabler rather than a bottleneck.

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