Bedrock Data was created to solve the data security problem that AI adoption has made urgent: enterprises hold enormous volumes of sensitive data scattered across on-prem systems, multiple clouds, SaaS apps, and now AI tools, and they struggle to know where that data lives, who and what can access it, and where it is dangerously exposed. As organizations connect copilots, agents, and AI pipelines to their data estates, the risk of accidental exposure or misuse rises sharply. Bedrock's mission is to give security teams continuous, contextual control over data across all of these environments.
The company's core technology is the Metadata Lake, a continuously updated graph knowledge base that discovers, classifies, and contextualizes data across IaaS, PaaS, SaaS, and AI systems. Rather than producing static scans, the Metadata Lake maintains a living map of data and its relationships, sensitivity, and access, enabling Bedrock to surface real exposure, identify and close least-privilege gaps, and reduce risk at scale. This graph-based, AI-native approach is designed to operate across multi-petabyte data estates without overwhelming teams with raw findings.
Bedrock is built for the AI era specifically: it helps enterprises govern how AI systems access data, supporting safe AI adoption by ensuring sensitive information is not over-exposed to models, agents, or copilots. The platform's combination of discovery, classification, exposure analysis, and access governance targets the full lifecycle of data security in modern, AI-driven enterprises.
The company is led by CEO and co-founder Bruno Kurtic alongside co-founders Pranava Adduri and Ganesha Shanmuganathan. In November 2025, Bedrock Data announced a $25 million Series A led by Greylock Partners, with participation from Mangusta Capital, Mantis Venture Capital, Pier 88 Investment Partners, and others; Greylock's Jason Risch joined the board. The company has since expanded its executive leadership to accelerate growth as enterprise demand for securing and governing data access across cloud and AI systems intensifies.