TrustLogix + Databricks

Turn Databricks
AI Innovation into
Enterprise AI Deployment

As a Databricks partner, TrustLogix helps organizations move AI initiatives from pilot to enterprise deployment. With Intent-based access controls (IBAC), a Kill Switch and Unified Policy Enforcement, TrustLogix enables AI agents to securely access enterprise data while maintaining governance, compliance and business controls. Together with Databricks Unity Catalog, TrustLogix helps organizations accelerate AI adoption with confidence.

Accelerate Production-Ready AI on Databricks

Intent Based Access Control, dynamically enforces access controls with the intent along with the combination of user and agent entitlement

Enforce business logic such as user locations and organization hierarchy via Policy Based Access Control that understands your business logic

Enforce a single policy across all managed and unmanaged Iceberg tables in Databricks, with consistent governance and access controls extending to consuming platforms such as Snowflake, Microsoft Fabric, and Amazon S3. All made possible by Unified Lakehouse Policies.

Delivers the deep, Fine-Grained Monitoring and audit trails of AI-to-data interactions required for enterprise compliance and risk management.

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

TrustAI: Secure Enablement of AI Agents alongside Unity Catalog and Agentbricks

Empower data and AI teams to move faster without sacrificing governance.

Complement Databricks Agent Bricks and Unity Catalog by adding runtime authorization that evaluates user identity, agent identity, business purpose, and policy context before every AI-to-data interaction‍
Authorize every agent-to-data decision at runtime by evaluating agent identity, end-user permissions, business purpose, geography, and policy context before granting access.‍
Deliver just-in-time, least-privilege access to Agent Bricks workflows, Mosaic AI agents, notebooks, ML jobs, and feature stores based on identity, intent, and business requirements‍
Enforce fine-grained authorization for every action by governing operations such as Read, Summarize, Join, Export, and Retrieve rather than granting broad, persistent access
‍Control sensitive data usage based on purpose and business context allowing approved AI interactions while preventing unauthorized access, movement, or exposure of raw data‍
Govern AI-to-data access consistently across the enterprise spanning Databricks, Snowflake, AWS Bedrock, Azure AI Foundry, SaaS applications, and MCP tools through a unified authorization layer‍
Generate audit-ready policy receipts for every decision capturing user identity, agent identity, data sensitivity, purpose, policy evaluation, and enforcement outcome to support compliance and incident response

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.

Create fine-grained access policies without code using RBAC, ABAC, and ReBAC controls that let data owners govern access without custom development‍
Enforce least-privilege access across users, AI agents, and workloads including service principals, applications, jobs, pipelines, and agent identities‍
Automate native enforcement at the data plane with row-level security, dynamic masking, policy pushdown, and generated SQL for platform-native execution‍
Generate audit-ready policy receipts with granular proof of data sensitivity, purpose, access logic, and authorization decisions for compliance
Enterprise-Wide Governance: Extends cross-platform data authorization beyond Databricks to ecosystems like Snowflake, AWS Bedrock, Azure, On-premise(MySQL, SQL Server, Oracle), analytical tools (like Power BI) and SaaS apps

TrustDSPM: Turn Data Risks into Actionable Remediation

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

Continuously discover sensitive data and access risks across Databricks and connected environments, including PII/PHI exposure, over-privileged accounts, ghost users, entitlement drift, and misconfigurations
Gain end-to-end visibility into data access, permissions, usage patterns, and data flows across Databricks workspaces, Apps, and downstream tools
Detect and prioritize data exposure risks by monitoring data movement, identifying exfiltration threats, and recommending remediation based on real-time activity and business impact
Accelerate compliance readiness with automated, audit-ready reporting for HIPAA, PCI-DSS, SOX, GDPR, and internal governance requirements, delivered through out-of-band, metadata-only analysis