The rapid adoption of AI has created unprecedented challenges in data security and governance, exposing critical gaps in traditional security tools. Bedrock Data, a provider of modern Data Security Posture Management (DSPM), has announced a $25 million Series A funding round to address this need. The investment, led by Greylock Partners, will fuel product development and go-to-market expansion as enterprises seek scalable solutions to secure and govern data across cloud and AI environments at multi-petabyte scale.
Bedrock Data secures $25 million in Series A funding led by Greylock Partners.
The capital will accelerate product development and go-to-market operations.
The platform addresses data security gaps in AI and cloud environments.
Its core is a Metadata Lake that discovers and classifies data across systems.
The new ArgusAI product focuses on AI model data access and governance.
The company was recently recognized as a Fortune Top 50 Cybersecurity Company.
Traditional security tools focused on perimeters and identities are ineffective in protecting data as AI adoption accelerates. According to Bedrock Data's own research, 82% of cybersecurity professionals report critical gaps in finding and classifying organizational data. The company's platform addresses this by using its patented Metadata Lake, a continuously updated graph knowledge base that autonomously discovers, classifies, and contextualizes data across on-premises, cloud, SaaS, and AI environments without moving the data itself.
A key innovation is Bedrock Data's ArgusAI, which allows enterprises to understand precisely what data their AI models and agents access during training and inference. This enables organizations to evaluate whether existing controls are sufficient to prevent sensitive data leakage and to implement natural language policies across all systems. The platform is designed to operationalize data security programs, improve data security posture, and provide contextual intelligence that makes existing security investments like SIEM and CNAPP more effective.
Bruno Kurtic, CEO and co-founder of Bedrock Data, explained the vision, stating, “Our mission is to build an enterprise-wide metadata lake that serves as the source of truth for data sensitivity, access, lineage and more. It’s not just about that basic visibility, it’s about operationalizing a data security program which improves data security posture (DSPM), reduces risk, improves access governance, enables responsible AI and delivers contextual intelligence.”
Jason Risch, partner at Greylock Partners, who is joining Bedrock Data's board, commented, “Enterprise security is entering a new era where data must be at the center of cyber strategy. Foundation models and agentic AI have made data access, governance and protection exponentially more complex, and legacy tools weren’t built for this shift. Bedrock’s approach is designed for scale and visibility across the full data surface, a prerequisite as enterprises replatform with AI at the core of their architecture.”
This significant funding round underscores the critical market need for AI-native data security solutions. As enterprises continue to integrate AI into their core operations, Bedrock Data is positioned to provide the foundational governance and protection required to enable innovation safely and responsibly.
About Bedrock Data
Bedrock Data delivers continuous, context-driven security and governance for enterprise data across private cloud, IaaS, PaaS, SaaS and AI environments. Powered by its patented Metadata Lake and Serverless Outpost architecture, Bedrock Data autonomously discovers, classifies and contextualizes data in place without moving it outside customer boundaries. Its open, API-first design integrates with existing platforms and enables natural-language policy enforcement, AI governance and automated remediation at enterprise scale. Global leaders in technology, finance, healthcare and biotech rely on Bedrock Data to make data security operational.
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