As organizations adopt multi-platform data strategies and use modern data analytics and visualization platforms in the cloud and on premises, maintaining consistent access governance becomes increasingly complex. A key challenge is preserving security and privacy controls as data moves between these systems—especially when it flows from data platforms into visualization tools like Microsoft Power BI. Without a unified approach, original access policies often fail to carry over, resulting in data exposure, governance drift, and elevated compliance risk.
TrustLogix solves this challenge by extending enterprise data access policies into Power BI. Security controls defined in data platforms are automatically enforced in Power BI dashboards, for both direct query and imported datasets.
Security teams implement fine-grained access controls in data platforms like Snowflake, Databricks, or other cloud and on-premises data sources. However, business users such as analysts, managers, and executives typically work in visualization platforms like Power BI, often without visibility into or alignment with those access policies.
This disconnect leads to serious issues:
TrustLogix closes these gaps by enforcing consistent, policy-driven access across platforms and tools. It unifies security models across technical and business environments—keeping access aligned and data protected, no matter where it’s viewed.
TrustLogix supports both major modes of Power BI data access—direct query and imported datasets—ensuring that security policies are consistently enforced in either case.
For example, if a user is only authorized to view financial data for a specific region in Snowflake, Power BI will reflect the same restriction. If sensitive fields are masked in the source, they remain masked in Power BI dashboards.
TrustLogix enhances data security in Power BI by continuously monitoring imported datasets for potential policy violations. A common risk occurs when Row-Level Security (RLS) constraints are disabled—either intentionally or due to updates in semantic models—exposing sensitive data to broader audiences than intended. TrustLogix detects when users connect to imported query data that lacks proper RLS enforcement and automatically triggers alerts. This proactive monitoring ensures that sensitive data remains protected, even in complex BI environments where security controls can be inadvertently bypassed. By closing this critical visibility gap, TrustLogix strengthens compliance and reinforces trust in cross-platform data governance.
All of this is achieved using TrustLogix’s agentless, non-intrusive architecture, which integrates with platforms like Snowflake and Power BI without directly handling sensitive data or impacting performance.
Extending data security into Power BI with TrustLogix delivers several key benefits:
A global healthcare provider using Snowflake, Databricks, and Microsoft Power BI needed to protect patient data in compliance with HIPAA and GDPR. With TrustLogix, security policies tied to geography, department, and role were automatically enforced across dashboards. Sensitive information like diagnosis codes and personal identifiers remained protected, and access was limited to authorized users only.
This allowed the organization to move faster with analytics while maintaining strict data governance and regulatory alignment.
TrustLogix brings continuity to enterprise data security by ensuring that access policies follow the data as it moves from backend platforms to business intelligence tools. Whether your data lives in Snowflake, Databricks, or Oracle, and whether it is visualized in Power BI or another tool, TrustLogix keeps it secure, governed, and compliant every step of the way.