Bedrock Security has officially rebranded as Bedrock Data, reflecting its mission to deliver comprehensive visibility, governance, and management for enterprise data in an AI-driven world. The shift underscores the company’s belief that true data confidence comes from a unified, data-centric approach.

“Data is the most valuable – yet often most neglected – asset in any enterprise. Traditional security methods have focused on networks, identities, and infrastructure, hoping to protect data indirectly, but the results have been inconsistent. Bedrock turns that model on its head by providing continuous, data-first visibility, governance, and control, allowing organizations to innovate securely in an AI-powered era,” said Bruno Kurtic, CEO and co-founder of Bedrock Data.

Rising AI Governance Pressures Highlight Data Blind Spots

The explosion of AI adoption, the rise of multi-cloud environments, and stricter digital sovereignty rules are creating new data governance challenges for businesses. According to the 2025 Enterprise Data Security Confidence Index, 82% of cybersecurity professionals identify critical gaps in locating and classifying enterprise data. Over half (53%) report they lack real-time visibility into sensitive information—an especially risky weakness given that 60% of security teams are now tasked with AI governance responsibilities.

Gartner predicts that by 2029, more than half of multinational organizations will have implemented digital sovereignty strategies, compared to less than 10% today. To meet these demands, enterprises need a unified, real-time view of their data landscape.

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Bedrock Data Expands into AI Agent Infrastructure

Coinciding with the rebrand, Bedrock Data announced the general availability of its MCP Server, expanding beyond data security and governance across SaaS, PaaS, and IaaS into AI agent infrastructure.

Alongside its Bedrock Data Copilot tool, the MCP Server allows organizations to manage data risk more intelligently. Copilot uses a guided, multi-step workflow and natural language interface to help security, data, and governance teams investigate incidents more efficiently. The MCP Server delivers real-time risk context—such as data sensitivity, access history, and usage patterns—directly to AI systems. This capability lays the groundwork for responsible, agent-driven AI interactions with enterprise data, enabling safe use while accelerating informed decision-making.

Metadata Lake Powers Data Discovery and Context-Aware Governance

At the heart of Bedrock’s platform is its Metadata Lake—a continuously updated repository of enterprise data assets. This technology captures critical information such as classification, entitlements, access records, lineage, usage metrics, and business taxonomy across structured, semi-structured, and unstructured datasets.

Unlike isolated tools, Bedrock’s open, integrated approach enables organizations to:

  • Discover and classify massive data volumes across SaaS, PaaS, IaaS, and AI agent environments at petabyte scale without requiring agents, containers, or persistent infrastructure.
  • Govern access by aligning entitlements with sensitivity and usage, supporting least-privilege controls and automated policy enforcement.
  • Support responsible AI by generating Data Bills of Materials (DBOMs) to ensure that AI training and retrieval-augmented generation (RAG) datasets comply with corporate and regulatory guidelines.

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“Data security is fundamentally a data management challenge,” Kurtic added. “Without knowing what data exists, where it resides, who owns it, and how it’s used, security is impossible. Our platform autonomously discovers and contextualizes data at scale, powered by AI, and connects directly to the AI ecosystem through our MCP Server.”

Rapid Adoption, Expanding Partnerships, and Industry Recognition

Enterprises in sectors like finance, healthcare, and biotechnology are already integrating Bedrock Data into their cybersecurity and governance workflows. Many use its API-first architecture to feed enriched data context from the Metadata Lake into existing tools such as SIEM, DLP, CNAPP, and cloud platforms, improving overall visibility and risk analysis.

This approach has helped Bedrock Data build a growing partner ecosystem with leaders in security and cloud technology, including Sysdig, Wiz, and Panther.

The company’s innovation has been recognized with multiple industry honors, including:

  • Fortune Top 50 Cybersecurity Companies of 2025
  • Finalist for Most Promising Early-Stage Startup by SC Media
  • Winner of Global InfoSec Awards for Publisher’s Choice Data Security and Data Security Posture
  • Intellyx Digital Innovator Award

With its rebrand and expanded capabilities, Bedrock Data is positioning itself as a cornerstone for organizations navigating the complex intersection of AI, security, and data governance.

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Source: businesswire