Column-Level Data Security with Snowflake Tags

company//Cyera

Role//Product Designer

Scope//End-to-end (strategy, UX, delivery)

Column-level data security interface showing Snowflake tag management

At Cyera, a data security platform (DSPM), I designed a feature that integrates Snowflake tags at the column level, enabling security teams to detect and remediate sensitive data exposure with much higher precision.

The Challenge

Security teams manage massive Snowflake environments where:

Fragmented and complex security tools led to manual, error-prone workflows
Sensitive data is hard to pinpoint
Table-level remediation is too broad

At the same time, Snowflake tags are a core convention - but were not reflected in the product.

Approach

I led the product direction and UX, focusing on:

Aligning with existing user workflows (Snowflake tags)
Simplifying decision-making by reducing cognitive load in high-stakes security environments
Prioritizing actionable flows over exploratory ones

A key decision was to focus on remediation, not data mapping.

Solution

1. OOTB Policy

I integrated Snowflake's native tagging into Cyera's existing policy builder, allowing users to map security categories directly to data columns for automated detection and masking.

Policy editor showing Snowflake tag integration

2. Actionable Issues and Remediation Flow

Issues are tied to specific columns, making risks clear and localized, and users can take direct action on affected data with minimal friction.

Issues view with column-level remediation actions

3. System Feedback

A feedback loop communicates remediation progress and status

System feedback showing remediation progress

Impact

Shipped to production
Addressed a highly requested customer need
Improved alignment with Snowflake-native workflows
Enabled faster, more precise remediation