Why Securing Your Snowflake Data Matters

As your organization scales Snowflake to handle rapid data growth and increasingly complex workloads, including AI and machine learning initiatives, managing the risk of data breaches and unauthorized access increases. Sensitive information that can leak into your Snowflake databases, such as personally identifiable information (PII), financial records (PCI), and healthcare details (PHI), can pose serious regulatory, financial, and reputational risks if compromised.

Stats from the Bedrock 2025 Enterprise Data Security Confidence Index

Staying ahead of these risks requires knowing what data you have in Snowflake rather than jumping right in to using tools to manage that data.

How You’re Likely Securing Snowflake Data Today

Typically, securing data in Snowflake involves:

1. Using Snowflake’s built-in pattern-based classification to identify basic data types like email addresses or Social Security Numbers.

2. Creating and managing manual classification rules (RegEx) for more sensitive data types.

3. Implementing role-based access controls (RBAC) and carefully managing permissions across databases, schemas, tables, and columns.

4. Regularly performing manual SQL queries and audits to verify data access, usage, and proper classification.

These steps are essential but require significant manual effort and ongoing maintenance, often resulting in resource-intensive processes and potential security gaps.

Challenges You May Face with Native Snowflake Security Methods

While Snowflake’s native security tools offer foundational protection, many organizations encounter significant additional hurdles, such as:

• Limited built-in data classification, recognizing only a small number of common data types.

• Extensive manual effort required to create and maintain RegEx classification rules, often resulting in inconsistent results.

• Time-consuming manual SQL audits and monitoring that drain valuable technical resources.

• Lack of contextual insights, leaving gaps in fully understanding data ownership or usage patterns.

• Data availability issues resulting from incorrect or overly restrictive RegEx classification rules can unintentionally obscure or garble data, causing authorized non-admin users to see incomplete or incorrect views of sensitive datasets.

Addressing these challenges is crucial, as gaps or inefficiencies in your data security approach can expose your organization to unnecessary risks.

How Bedrock Free Helps You Secure Your Data Faster, Easier, and Better

Bedrock Free is specifically designed to strengthen your Snowflake security quickly and efficiently:

• Automated Classification: Instantly classifies over 100 sensitive data types, including PII, PCI, and PHI, without extensive setup or manual tuning.

• Business Context and Domain Insights: Clearly identifies the purpose and appropriate use of your data, whether it involves employee records, sales leads, or customer details.

• Advanced AI-Driven Accuracy: Uses AI to continually update data classifications, greatly reducing manual effort and improving accuracy.

These features simplify and enhance your ability to maintain secure, compliant, and context-aware data management in Snowflake.

Streamlined Impact Analysis and Prioritization

Bedrock introduces the Impact Score, a powerful metric that combines data sensitivity and volume to help you swiftly identify and prioritize your highest-risk Snowflake schemas. Rather than relying on complex SQL audits, Bedrock for Snowflake provides:

• Automatic Risk Heatmaps: Visualize exactly where your critical data resides, allowing you to focus your security efforts more effectively.

• Natural-Language Queries: Bedrock’s Metadata Copilot provides quick, intuitive access to security insights without needing SQL expertise, empowering everyone in your organization.

With these streamlined tools, you can confidently direct your attention and resources to the areas that matter most, ensuring robust and effective data protection in your snowflake environment.

We'd genuinely like to hear about your challenges in securing your Snowflake data. Reach out to us at protectdata@bedrock.security, and let’s work together to solve your toughest data security challenges.

See What’s Hiding in Your Snowflake Data

Get started with Bedrock Free for Snowflake today and discover:

• Where your sensitive data lives

• How it’s being accessed and used

• Opportunities for optimization

• Potential security improvements

• Automated Impact Scoring for data assets

• Security and compliance insights

Visit Bedrock Free for Snowflake to begin your free deployment.