TrustLogix + Databricks

Beyond Unity Catalog:
Enforce Access Policies Across Databricks and More

TrustLogix integrates natively with Databricks to deliver capabilities that Unity Catalog alone doesn’t provide—delivering a central control pane access across accounts, workspaces, jobs, notebooks, pipelines, and feature stores; securing AI/ML workflows with scoped, just-in-time entitlements; and extending visibility and policy control across your entire data ecosystem.

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Why Databricks Customers Rely on TrustLogix

Enforce access control across Unity Catalog, workspaces, and downstream tools

Unify visibility into entitlements, activity, and risk across identities—human and non-human

Extend protection to AI/ML jobs, pipelines, and shared data assets

Deploy natively—no proxy or agent architecture to manage

Start small and scale fast with account-based pricing and fast activation

TrustDSPM: Turn Access Inventory into Actionable Risk Insights

Understand not just what data exists, but how it’s being used, who’s accessing it—and where the risks are.

Map entitlements, usage, and policies across Databricks workspaces and downstream tools to eliminate blind spots and unify control
Detect excessive permissions, unused roles, and overlapping access patterns to reduce security risk and prevent privilege creep
Surface dark data, configuration gaps, and policy drift that threaten compliance to proactively close enforcement gaps
Monitor data movement from notebooks into BI tools to detect oversharing and protect sensitive outputs
Support compliance frameworks like HIPAA, PCI-DSS, and internal data boundaries to simplify audits and reduce regulatory exposure
Prioritize remediation based on real usage, role sensitivity, and business impact to focus effort where it matters most

TrustAccess: Policy-Based Access Controls for the Lakehouse

Go beyond Unity Catalog roles with access policies that scale across workspaces, regions, and the entire Databricks environment.

Enforce least-privileged access across jobs, notebooks, pipelines, and environments to reduce risk and limit data overexposure
Apply consistent controls across workspaces and cloud regions to simplify administration and eliminate policy silos
Support dynamic policy conditions like purpose, geography, or project alignment to meet regulatory and business requirements
Manage access for non-human identities including jobs, service principals, and pipelines to prevent unintended or persistent access paths
Avoid custom code and policy sprawl with no-code policy creation and native integration, accelerating time to value and reducing operational overhead

TrustAI: Secure Enablement for AI/ML Workflows

Empower data science teams to move faster—without sacrificing governance.

Provide just-in-time, scoped access for ML jobs, notebooks, and feature stores to accelerate AI development while reducing unnecessary exposure
Use MCP to deliver entitlements based on AI agent identity and intent, ensuring each request aligns with approved use cases
Protect sensitive features in the Databricks Feature Store across training and inference pipelines to safeguard regulated and high-value data
Maintain auditability for dynamic access requests and agent-driven workflows to support compliance and incident response
Govern data flowing into and out of Databricks-native and external AI platforms to retain control as AI workloads scale