Bedrock Security Rebrands as Bedrock Data to Advance Data Governance, Security and Management in the AI Era

August 05, 2025 at 09:00 AM EDT

Enterprises Run on Data, but Most Lack Control; Bedrock Data Makes Data Visible, Understandable and Governable Across Every Environment, Process, Tool and Team

Bedrock Data, formerly Bedrock Security, the platform provider for data-centric security, governance and management, today announced its rebrand to Bedrock Data in tandem with its vision that enterprise data confidence is inextricably tied to comprehensive data visibility.

“Data is the most critical yet most overlooked enterprise asset. Security has long focused on identities, network, perimeters and infrastructure in its attempt to protect data indirectly – with mixed results at best. Bedrock flips the model with continuous, data‑centric visibility, governance and control so enterprises can innovate with confidence in an AI‑driven world,” said Bruno Kurtic, CEO and co-founder of Bedrock Data.

Organizations Struggle With Data Blind Spots as AI Governance Demands Surge

Organizations today face unprecedented data visibility challenges accelerated by explosive AI adoption, rapid adoption of multi-cloud and tightening digital sovereignty requirements. According to the “2025 Enterprise Data Security Confidence Index,” 82% of cybersecurity professionals report critical gaps in finding and classifying organizational data, with 53% lacking real-time visibility into sensitive assets, a particularly dangerous blindspot as 60% of security teams have expanded into AI governance responsibilities. With Gartner predicting over 50% of multinational organizations will implement digital sovereign strategies by 2029 (up from less than 10% today), companies urgently need unified visibility across their entire data ecosystem.

Bedrock Data Advances Enterprise Readiness for Agentic AI Governance

The general availability of the Bedrock Data MCP Server, also announced today, marks the company’s expansion from data security, governance and management across SaaS, PaaS and IaaS environments into AI agent infrastructure.

With tools like Bedrock Data Copilot and the MCP Server, organizations can take a more intelligent and governed approach to data risk. Copilot helps security, data and governance teams investigate incidents using a guided, multi-step workflow powered by an intuitive natural language interface. The MCP Server delivers real-time data risk context – such as sensitivity, access history and usage – into AI systems, enabling a foundation for responsible agentic AI as it begins to interact with enterprise data. Together, they provide the visibility and control needed to use data safely while supporting faster, more informed decisions.

Metadata Lake Technology Powers Data Discovery, Classification and Context-Aware Governance

Unlike siloed tools, Bedrock Data takes an open, integrated approach to help organizations secure, govern and manage data at scale. At the core of the platform is Bedrock’s Metadata Lake, which acts as a continuously updated repository of enterprise data assets, capturing classification, entitlements, access history, lineage, usage and business taxonomy across structured, semi structured and unstructured data.

With Bedrock’s Metadata Lake technology, organizations can quickly and easily:

Discover and classify data at petabyte scale across SaaS, PaaS, IaaS and emerging agentic AI environments using serverless architecture that requires no agents, containers or persistent infrastructure and supports structured, unstructured and semi-structured data.
Govern data access by mapping complete entitlements to usage and sensitivity, enabling least privilege control and policy enforcement.
Enable responsible AI by providing Data Bills of Materials (DBOMs) that help ensure data used for AI training and RAG applications is within corporate or regulatory policy.

“At its core, data security is a data management problem,” said Kurtic. “If you don’t know what data you have, where it lives, who owns it or how it’s being used, you can’t secure it or use it effectively. We built Bedrock to autonomously discover and contextualize data at scale, powered by AI and delivered through an open, integrated, API-first platform that plugs directly into the AI ecosystem through our new MCP Server.”

Customer Adoption, Growing Partner Ecosystem and Industry Recognition Drive Company’s Rapid Growth

Enterprise customers across financial services, healthcare, biotech and other industries are using Bedrock Data to integrate data context across their cybersecurity and data management tools and processes. With Bedrock’s API-first architecture, many customers are leveraging the Metadata Lake to enrich their existing tools like SIEM, DLP, CNAPP and cloud platforms, amplifying visibility and risk insights across their enterprise. This approach has fostered a rapidly growing partner ecosystem with leading security and cloud companies including Sysdig, Wiz, Panther and others.

Bedrock Data continues to receive industry accolades including being recognized as a Fortune Top 50 Cybersecurity Company of 2025 and a finalist for Most Promising Early-Stage Start Up by SC Media, along with being named a winner for the Global InfoSec Awards for Publisher’s Choice Data Security and Publisher’s Choice Data Security Posture, and Intellyx’s Digital Innovator Awards.

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About Bedrock Data

Bedrock Data equips enterprises to secure and manage all of their data with confidence. Powered by patented Metadata Lake technology and AI-driven classification, the Bedrock platform provides continuous visibility into data location, sensitivity, business context, access and usage across SaaS, PaaS, IaaS and agentic AI workflows. By autonomously discovering, classifying and contextualizing all enterprise data, Bedrock Data empowers security, governance and data teams to tackle security, roll out AI technologies with confidence and manage their data at multi-petabyte scale and minimal infrastructure cost. Bedrock Data’s open, API-first architecture, built on its Metadata Lake, powers its built-in MCP Server to deliver real-time metadata context to agentic AI workflows, driving accurate, governed AI decisions. This metadata context also enriches tools like SIEM, DLP, CNAPP and cloud platforms to amplify visibility, risk insights and response precision across the enterprise. Trusted by leading enterprises worldwide in financial services, healthcare, biotech and other industries, Bedrock Data is headquartered in Silicon Valley, backed by Greylock Partners, and led by experts in cloud infrastructure, generative AI, cybersecurity and large-scale data management. Learn more at bedrockdata.ai.