TrustLogix for Snowflake

Scale your Snowflake Data Analytics, Safely and Securely

Secure your Snowflake Data Sharing

Deliver Safe and Secure Data Applications on Snowflake

Enable Safe and Secure AI and Data Science on Snowflake

Problem statement:

We want to enable more data collaboration across the entire organization, but it is hard for me to keep up with the increasing volume and urgency of data consumer requests for data access, and troubleshoot data access issues.

Solution:

TrustLogix empowers you to define and apply fine-grained least-privilege policies quickly and uniformly across all Snowflake accounts and schemas, while ensuring you stay aligned with your organization’s enterprise-wide best practices and compliance policies.

Enforce standard sets of privileges with Policy Templates that can be applied across all data sources and sets of roles
Integrate with Snowflake Data Catalog and Tagging to identify columns and rows of sensitive data, then protect with no-code Snowflake-native de-identification rules and least-privilege access policies
Troubleshoot data access issues by visually navigating role and privilege hierarchies for a given data set and identifying what data is accessible for a given user through which role grants

Control & Protect4x

Problem statement:

I need to share datasets with business partners using Snowflake data sharing. But I need to control and monitor access, plus there are sensitive data attributes that must be properly redacted before sharing with another organization. How can I do this consistently across all my shared datasets?

Solution:

TrustLogix lets you manage data sharing privileges and get full visibility on what data you are consuming from and sharing with outside organizations.

Simplify provisioning of Data Sharing policies with a few clicks
Visualize your data flows, and alert and resolve any risky sharing of sensitive data
Integrate with Snowflake Data Catalog and Tagging to identify sensitive data, and protect with no-code Snowflake-native de-identification and access policies

data sprawl - chart4x

Problem statement:

My organization is developing and delivering data applications on Snowflake, including monetizing on the Snowflake Marketplace. How do I ensure data is made available only to entitled application users?

Solution:

TrustLogix lets you templatize, apply and monitor fine-grained access policies for all application developers and users across your whole organization, thus ensuring consistent access policies across all of your Snowflake data applications.

Use Policy Templates to ensure standard sets of privileges are applied across all application developers and users regardless of where the data resides
Implement “Privacy by Design” by integrating with Snowflake Data Catalog and Tagging to identify columns and rows of sensitive data, and protect with no-code Snowflake-native de-identification rules and access policies
Gain full visibility of the various users and tools accessing your development and production databases, and ensure Separation of Duties by proactively blocking conflicting role assignments between production users versus development and test users.

Create-Policy-Trustlogix

Problem statement:

My organization is deploying machine learning and AI workloads on Snowflake. How can I ensure both model training data and subsequent production data is being used safely, securely, and correctly?

Solution:

TrustLogix lets you manage access controls and de-identify sensitive data throughout the entire ML/AI lifecycle, including data engineering, model training, model deployment and subsequent monitoring.

Use Policy Templates to ensure standard sets of privileges are applied for all users and client tools
Gain full visibility of the various users and tools accessing from across the whole ML/AI lifecycle, and ensure Separation of Duties by proactively blocking conflicting role assignments between users who are monitoring and operating ML/AI in production versus users in development, model training and other pre-production activities
Implement Snowpark-native de-identification policies to mask or anonymize sensitive data before your data engineering and data science teams consume them

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