Deliver secure and compliant AI projects at scale with Databricks and TrustLogix

Speed and oversight are critical components of successful  AI projects.

  • Fine-grained access controls at scale
  • Data security posture management designed for Databricks
Data Bricks Overview

Why TrustLogix? 

Hear from Steve Zalewski, former CISO of Levi-Strauss & Company, on how TrustLogix solves the critical needs of today's data and security teams. 

Bring AI to your data and deliver AI projects to the world quickly and securely with Databricks and TrustLogix

Facilitate secure and compliant AI projects while accelerating security approvals and automating access controls for enterprise-wide data. 

Problem Statement

  • As a data security team lead, how do I know if my IT teams are following Databricks security best practices?
  • What new data assets are coming in and what data is leaving?

Solution Statement

TrustLogix provides a Data Security Posture Management service designed for Databricks. 

TrustLogix continuously monitors the Databricks cluster to gain visibility into various data risk categories, including:

  • Dark data risks — identifying unused data left unclassified or unprotected
  • Data exfiltration risks — detecting abnormal data access or transfers
  • Overly granted access risks — finding improper user permissions and entitlement creep
  • Regulatory compliance risks — spotting configuration gaps against frameworks like HIPAA and PCI
  • Shadow IT risks — discovering unsanctioned tools that connect to Databricks 
  • Misconfiguration risks — pinpointing security policy gaps or flawed settings

TrustLogix analyzes these risks to provide actionable intelligence for securing data within Databricks clusters. The solution integrates directly with Databricks to provide automated access discovery risks and continuous insights into their security posture across multiple risk factors.

Bring AI to your data projects with Databricks and TrustLogix!

TrustLogix is SOC2 Type 2 Compliant, uses no agents or proxies, requires read-only metadata access, and does not see or touch the data itself.