Database Security

Bedrock Data Raises $25M Series A to Scale AI-Native Data Security Platform

Capital will support platform development and go-to-market expansion as enterprises seek scalable, efficient and accurate data security and governance for AI and cloud environments

Bedrock Data, the modern DSPM platform provider for data-centric security, governance and management, today announced $25 million in Series A funding led by Greylock Partners with participation from Mangusta Capital, Mantis Venture Capital, Pier 88 Investment Partners and other investors. Jason Risch from Greylock is joining Bedrock Data’s board as part of the investment. The funding will accelerate product development and continued innovation in scalable data security, integrations, classification and AI governance. It will also expand go-to-market operations to meet rapidly growing enterprise demand for securing and governing data access across IaaS, PaaS, SaaS and AI systems at multi-petabyte scale.

“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. 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. Bruno and the team bring the technical depth and clarity of vision needed to lead this transformation.”

Traditional security tools that focus on perimeters, identities and infrastructure fail to protect data effectively as AI adoption accelerates. According to Bedrock Data’s 2025 Enterprise Data Security Confidence Index, security leaders are confronting major challenges in managing and protecting enterprise data, with 82% of cybersecurity professionals reporting critical gaps in finding and classifying organizational data. Bedrock Data addresses this gap with its Metadata Lake, a continuously updated graph knowledge base that discovers, classifies and contextualizes data across on-prem, cloud, SaaS and AI environments to surface exposure, close least-privilege gaps and reduce risk at scale.

“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. “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 that makes existing investments like SIEM, CNAPP, DLP and others more effective.”

Extending its reach deeper into AI, Bedrock Data ArgusAI, announced separately today, allows enterprises to understand exactly what data their AI models and agents access during training and inference, evaluate whether existing controls are sufficient to prevent sensitive data leakage and implement policies across all systems using natural language.

Adoption of the Bedrock Data platform has grown rapidly across financial services, healthcare, technology and other data-intensive industries. Its partner ecosystem includes leading cloud and security providers such as Sysdig, Wiz and Panther, which integrate Bedrock Data’s data context to enhance their platforms. Bedrock Data was recognized as a Fortune Top 50 Cybersecurity Company of 2025, a SINET16 Innovator and an award recipient from CODiE, InfoWorld, SC Media, Global InfoSec Awards and Intellyx for innovation in data security.

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