Bedrock Data, a provider of modern Data Security Posture Management (DSPM), announced it has closed a $25 million Series A funding round. The capital injection was spearheaded by Greylock Partners, with substantial participation from Mangusta Capital, Mantis Venture Capital, Pier 88 Investment Partners, and several other investors.
As part of the investment, Greylock Partner Jason Risch will join the Bedrock Data board. The new financing is intended to accelerate both product development—focusing on scalable data security, classification, integrations, and AI governance—and the expansion of the company’s go-to-market operations. This growth is essential to meet the surging enterprise demand for securing and governing data access across various systems, including IaaS, PaaS, SaaS, and AI environments, all at multi-petabyte scale.
The New Era of Data-Centric Security
The rapid adoption of AI is pushing traditional security models to their limits. Tools focusing on network perimeters, user identities, or infrastructure are proving ineffective when it comes to comprehensive data protection. Bedrock Data’s 2025 Enterprise Data Security Confidence Index highlights this problem: a staggering 82% of cybersecurity professionals report critical gaps in their ability to locate and classify organizational data.
The challenge stems from the new complexity introduced by foundation models and agentic AI. “Enterprise security is entering a new era where data must be at the center of cyber strategy,” said Jason Risch, partner at Greylock Partners. “Foundation models and agentic AI have made data access, governance and protection exponentially more complex, and legacy tools weren’t built for this shift.”
Mr. Risch, who previously worked in the AI Fund startup studio and for McKinsey & Company’s tech practice, brings deep experience in launching AI-enabled companies. He notes that Bedrock Data’s system is specifically designed for comprehensive visibility and scale across the entire data surface, a necessary component as companies rebuild their architecture around AI. “Bruno and the team bring the technical depth and clarity of vision needed to lead this transformation,” Risch added.
Bedrock Data tackles this problem with its Metadata Lake. This continuously updated graph knowledge base is engineered to discover, classify, and contextualize data across on-premises, cloud, SaaS, and AI environments. By doing so, it surfaces exposure points, helps close least-privilege access gaps, and ultimately reduces risk at scale. The market for this technology is expanding rapidly: Gartner predicts that over 20% of businesses will prioritize and deploy DSPM technology by 2026 to secure their known and unknown data repositories.
Expanding Product Focus and Market Reach
The $25 million in funding will be used to enhance the Bedrock Data platform and expand its market presence globally. Product development will focus on continued innovation in features that allow for more scalable, efficient, and accurate data security and governance.
The company is already making good on this promise with the separate announcement of Bedrock Data ArgusAI. This new feature allows organizations to get a clear picture of what data their AI models and agents access during training and inference. It helps evaluate if current controls are enough to prevent sensitive data leakage and allows for the implementation of policies across all systems using natural language.
“Our mission is to build an enterprise-wide metadata lake that serves as the source of truth for data sensitivity, access, lineage and more,” said Bruno Kurtic, CEO and co-founder of Bedrock Data. He emphasized that the goal is deeper than mere 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 that makes existing investments like SIEM, CNAPP, DLP and others more effective.”
Background: Context-Driven Security for Global Enterprises
Bedrock Data was founded to deliver continuous, context-driven security and governance for enterprise data across all environments—private cloud, IaaS, PaaS, SaaS, and AI systems. It helps global organizations make data security operational.
CEO and co-founder Bruno Kurtic brings a strong background in enterprise technology, having previously co-founded Sumo Logic, a cloud-based log management and analytics service that successfully went public. Along with co-founders Pranava Adduri (CTO) and Ganesha Shanmuganathan (Chief Architect), they established Bedrock Data to address the next generation of data security challenges.
The core technology relies on its patented Metadata Lake and Serverless Outpost architecture. This allows the platform to automatically discover, classify, and contextualize data exactly where it sits, ensuring the data never leaves the customer’s secure environment. The open, API-first structure ensures it can easily connect with existing security platforms. This enables automated remediation, AI governance, and natural-language policy enforcement at a large scale. Global leaders in technology, finance, healthcare, and biotech are among the organizations that trust Bedrock Data with their most sensitive information.
Recognized Innovators and Key Partners
The Bedrock Data platform has seen rapid adoption across data-intensive sectors, including financial services and healthcare. It also maintains a growing partner ecosystem with notable security and cloud providers such as Sysdig, Wiz, and Panther, which use Bedrock Data’s comprehensive data context to strengthen their own platforms.
The company’s impact has been recognized across the industry. Bedrock Data was previously named a Fortune Top 50 Cybersecurity Company of 2025 and a SINET16 Innovator. The company has also received numerous awards from organizations like CODiE, InfoWorld, SC Media, Global InfoSec Awards, and Intellyx for its innovation in data security.
