That’s why IaC drift detection and Snowflake data masking can’t be treated as separate problems. Infrastructure as Code defines security controls, masking policies, and role grants. But once that code drifts from what’s in production—whether from a manual console change, an untracked script, or a merge to the wrong branch—you lose the guarantees you thought you had.
Snowflake data masking is powerful. Dynamic data masking lets you enforce policies at query time, masking sensitive fields like PII based on user roles. Properly configured, it keeps restricted data out of unauthorized hands without creating extra datasets. But masking logic living only in Snowflake isn’t enough. If a role’s permissions change without going through your IaC pipeline, masking policies may silently fail—or worse, appear to work while leaking data.
IaC drift detection closes that gap. By continuously comparing your live Snowflake configuration to the declared state in your repositories, it surfaces changes as they happen. That means you can catch a dropped masking policy, a new role with overbroad grants, or a schema migration missing its masking rules before an exposure turns into a breach.