Data has become the foundation of modern business, and platforms like Databricks now sit at the center of how organizations build, analyze, and power AI-driven applications. Databricks has worked with thousands of customers to securely deploy the Databricks platform with the appropriate features to meet their security, privacy and regulatory requirements. As Databricks adoption accelerates, security teams using Wiz are looking to integrate this expanding surface into the Wiz Security Graph. To defend against modern threats, security must be as interconnected as the systems it protects.
Extending Wiz Visibility with the Databricks Data & AI Platform
By extending Wiz to Databricks, we are bridging the gap between cloud infrastructure and the data layer. Your data and AI platform becomes a visible, contextualized part of your environment, securing your data in relation to everything it touches across the cloud. This integration provides a unified security posture, allowing your team to scale AI initiatives with full visibility.
Unity Catalog Intelligence Across the Cloud
Databricks Unity Catalog provides the foundational governance and visibility for your data and AI assets. By integrating this intelligence into the Wiz Security Graph, teams utilizing Wiz now have extended visibility across Data, AI and Cloud platforms:
Unified Data Visibility: Map Unity Catalog’s access governance to cloud-wide identities and external access points
End-to-End Identity Context: See how permissions managed in Unity Catalog correlate with broader cloud roles to ensure consistent least-privilege enforcement.
Cross-Platform Risk Correlation: Connect signals from the lakehouse with external infrastructure alerts to proactively identify and mitigate complex attack paths.
With this shared visibility, Wiz customers can proactively govern sensitive assets with full cloud context, platform teams can optimize access and configurations across the stack, and security teams can correlate these signals.
Inside Wiz for Databricks
Wiz brings Databricks’ configurations and data security posture into the Security Graph using the same agentless, graph-based approach that defines its cloud security platform—giving teams managing Wiz a unified way to understand infrastructure, identity, and data risk together.
Unified inventory across cloud and data
Wiz automatically discovers Databricks workspaces, clusters, users, service principals, and Unity Catalog assets—including tables and volumes—and maps them alongside your cloud resources. This creates a shared, real-time inventory across environments, allowing platform and data teams to understand what exists and how it connects, without relying on manual tracking or siloed tools.
Posture and identity risk in context
By aligning Databricks configurations with the broader Wiz Security Graph, teams relying on Wiz can maintain a consistent security baseline across their entire environment. This integration maps identities and service principals across Data, AI, and Cloud platforms, providing a holistic view.
Data security
Though Databricks offers its own patterns for data classification within its platform, Wiz users can also use Wiz to manage data security. Our new integration enables the discovery and classification of data—including PII, PHI, PCI, and secrets—within Unity Catalog, and connects that data to the identities and resources that can access it.
From isolated findings to real attack paths
Wiz Security Graph now offers comprehensive visibility into Databricks' configurations and data security posture, providing a more complete understanding than assessing individual findings.
By combining Wiz Security Graph with Databricks' data context, security teams can proactively identify and disrupt attack paths before they’re exploited. For example, if sensitive credentials are exposed, this integration provides the critical context needed to halt lateral movement and prevent unauthorized access to your infrastructure.
This type of risk is only visible when cloud, identity, and data context are connected—and it is exactly what the Wiz Security Graph is designed to uncover.
“By integrating Databricks’ governance data into Wiz’s cloud-wide visibility, we provide the unified foundation Wiz users rely upon to prioritize what matters most. This builds on our companies’ existing work together, with Wiz joining the Open Security Lakehouse Ecosystem and integrating its cloud security insights into Databricks Lakewatch, an open, agentic SIEM built on the lakehouse.”
— Ashish Kathapurkar, Sr. Technology Partner Director, Databricks
What’s next: Securing AI applications
Exposure is no longer limited to infrastructure, identity, or data in isolation, but emerges across how these systems interact—how data is accessed, how identities are used, and how applications are built on top.
As organizations build enterprise AI applications, securing these systems requires a connected context where signals across every layer-- infrastructure, models, data, and application logic – can be correlated to understand real exposure.
The Wiz Security Graph is designed for this exact challenge. Wiz is committed to extending this risk detection across the entire AI lifecycle, helping organizations move from securing individual components to protecting complete AI applications end-to-end.
Wiz is already extending visibility and risk detection across these layers, helping teams move from securing data platforms to securing complete AI applications end to end. You can explore more in our recent work on AI application visibility and reducing AI risk across AI applications.
