Bedrock Data, a data-centric security and governance platform provider, announced a strategic investment from Snowflake Ventures alongside a deeper technical integration with Snowflake’s AI Data Cloud and a joint go-to-market partnership. The collaboration expands Bedrock Data’s AI-powered data classification and governance capabilities within Snowflake’s ecosystem, including integration with Snowflake Horizon for unified data visibility.
The partnership also introduces a new integration between Bedrock Data’s ArgusAI solution and Snowflake Cortex AI, enabling enterprises to gain deeper visibility into AI agents and the data they access. This is designed to help organizations govern generative AI systems more effectively while reducing risk and improving compliance.
As enterprises accelerate AI adoption, data governance challenges have intensified. Bedrock Data cited findings from its 2025 Enterprise Data Security Confidence Index, which revealed that 79% of security teams struggle to classify sensitive data used in AI and machine learning systems, while only 48% report high confidence in controlling that data. These gaps highlight the importance of comprehensive data discovery, classification, and access control as organizations deploy AI at scale.
The integration leverages Bedrock Data’s Metadata Lake, a continuously updated graph-based knowledge system that maps enterprise data attributes such as sensitivity, lineage, access entitlements, and usage patterns. This provides a centralized source of truth for data governance across Snowflake environments, enabling organizations to manage structured, semi-structured, and unstructured data without manual tagging.
Bedrock Data’s platform automatically identifies and classifies sensitive data, including personally identifiable information, protected health information, and intellectual property, while assigning impact scores to prioritize high-risk datasets. It also maps user and system access across roles, service accounts, and AI agents, enabling more precise access controls and reducing unnecessary exposure.
Additionally, the platform integrates with Snowflake’s native tagging and policy enforcement capabilities to automate masking and access controls at the database, table, and column levels. Real-time updates ensure that governance policies remain aligned with evolving data usage patterns, while lineage tracking helps organizations understand how data flows across systems.
The ArgusAI integration with Snowflake Cortex AI further enhances governance by cataloging AI agents and mapping the data they access through Cortex services. This allows enterprises to monitor and manage the growing “AI risk surface” created by agent-driven workflows.
Bedrock Data’s integration with Snowflake is available immediately, while the ArgusAI and Cortex AI integration will be showcased at RSA Conference 2026 in San Francisco.
KEY QUOTES
“Enterprises run their most critical data and AI workloads on Snowflake, where strong governance enables AI adoption. Bedrock Data’s integrations with Snowflake Horizon and Snowflake Cortex AI help joint customers accelerate AI initiatives while maintaining security and compliance.”
Harsha Kapre, Head Of Snowflake Ventures
“For many large enterprises, Snowflake is home to the data that drives their most important decisions. Securing that data, across both traditional analytics workloads and emerging AI applications, is a foundational requirement for any enterprise AI strategy. Snowflake’s investment affirms that data-centric governance is not a nice-to-have, it is a prerequisite for deploying AI with confidence. Together, we are giving enterprises the data visibility and control they need to innovate while improving security, governance and compliance.”
Bruno Kurtic, CEO And Co-Founder Of Bedrock Data
