Data Security Posture Management
Data Security Posture Management
KEEP DATA SECURE

Snowflake data access governance

Govern access to semi-structured data at scale

Overview

Mismanaging data access leads to breaches

The Snowflake cloud-based data platform has transformed how organizations manage big data workloads. It helps businesses collect, store and analyze vast amounts of data more cost effectively. But this flexibility and scale also bring challenges in managing data movement, classification and access.

Overprivileged access due to poor data classification, inadequate access controls, lack of masking for confidential information and weakly defined data retention policies all increase the risks of costly breaches. In addition, poorly classified or mismanaged data can lead to compliance and audit failures.

Benefits

Streamlined access governance for Snowflake data

Continuous, accurate data classification

Proofpoint Data Security Posture Management (DSPM) uses AI to continuously and accurately classify semi-structured data in Snowflake.

Automatic tagging of Snowflake data

When DSPM classifies Snowflake data, it also maps those classification labels to Snowflake-native tags and applies the tags to the appropriate Snowflake columns and tables. This enables Snowflake users to enforce tag-driven policies, such as encryption, data masking and role-based access control.

Embedded classification in Snowflake Openflow

Using Openflow, organizations can integrate their enterprise data ecosystems with AI models, apps and data agents directly in Snowflake. And Proofpoint is the first security vendor to be chosen as an Openflow partner. Customers can embed our classification engine directly into their Snowflake data pipelines, automatically tagging sensitive data the moment it’s ingested. By classifying sensitive data inline within Openflow, DSPM enables customers to pursue AI innovation securely and confidently.

Clear visualization of user access

With real-time access graphs, DSPM visualizes how users, apps and services access sensitive data. Security teams get the insights they need to enforce least privilege access.

Efficient least privilege enforcement

Administrators can use automated workflows to implement least privilege access, providing more precise data governance and greater operational efficiency.

Streamlined risk remediation

DSPM turns analysis into action. Security teams can launch automated workflows to act on risk instantly. No delays, no backlog. Every administrator decision is captured, ensuring traceability and compliance.

Key Features

Key features for Snowflake data governance

Continuous discovery and accurate classification

Get full visibility of critical data at all times. The DSPM single-pass scanner provides continuous, rapid discovery and accurate classification of your Snowflake data. Fine-grained classification and automatic mapping to Snowflake-native tags enables precision controls such as encryption, data masking and role-based access. Visibility into non-obvious sensitive data reduces chances of accidental exposure.

DSPM use case Snowflake data governance

In-pipeline classification for Openflow

DSPM brings high-performance, in-pipeline classification directly into Openflow. Supporting over 120 classifiers—covering personally identifiable information (PII), payment card industry (PCI) data, protected health information (PHI), credentials and custom patterns—DSPM enables real-time tagging, continuous classification and integration with native schema. Running within Openflow, DSPM minimizes sensitive data exposure. It elastically scales with your compute and accelerates security response without disrupting analytics operations.

Access governance and credential management

Use dynamic, detailed graphs to see how your people and resources access data. Identify which users are inactive, misconfigured or over-provisioned. Ensure that users can access only necessary data.

DSPM use case Snowflake data governance

Real-time risk analysis

See attack paths that could lead to breaches or data loss. Review real-time analysis that ranks your risks by impact and likelihood of success. Monitor for anomalous activity, such as spikes in data downloads or access from unusual locations. Uncover Snowflake misconfigurations — such as missing multifactor authentication (MFA) or stale accounts — that increase breach exposure.

DSPM use case Snowflake data governance

Automated risk remediation and audit trails

Triage risks and launch automated remediation actions such as opening Jira tickets or creating email or Slack notifications. Proofpoint preserves audit logs for every decision made, ensuring traceability and compliance. DSPM also integrates with Snowflake data tagging, enabling scalable data protection.

DSPM use case Snowflake data governance

In-place scanning architecture

Ensure that data never leaves your secure perimeter. Running as a Snowflake-native app, DSPM operates scanners across your environment, giving you complete confidence in your data security.

Resources