Bedrock Data, an AI-native platform for data security, governance, and responsible AI, reported a year of significant milestones in 2025. These achievements include closing a $25 million Series A funding round led by Greylock Partners, launching the ArgusAI platform to extend governance into AI systems, appointing new executives to accelerate market operations, and receiving notable industry recognition for its work in Data Security Posture Management (DSPM) and AI governance.
The company’s momentum reflects an increasing enterprise demand for unified visibility, control, and governance of data across its entire lifecycle, encompassing operational use, analytics, and AI systems. Throughout 2025, the market observed a shift from a focus on rapid AI deployment to a more concentrated effort on governing AI systems and agents already in use or planned for implementation. A key challenge highlighted is that most organizations currently possess minimal visibility into the data consumed by their AI systems.
According to Bedrock Data’s 2025 Enterprise Data Security Confidence Index, 82 percent of cybersecurity professionals face significant challenges in discovering and classifying organizational data. Concurrently, 60 percent of security teams have expanded their responsibilities to include AI governance. This presents a considerable challenge, especially as regulatory bodies, including the EU and SEC, now mandate companies to document data utilized in high-risk AI systems.
“The data visibility problem, compounded by accelerating AI deployment, has moved from theoretical concern to operational priority, showing up in board meetings, regulatory inquiries and breach post-mortems,” stated Bruno Kurtic, CEO and co-founder of Bedrock Data. “We’re seeing this shift firsthand in conversations with customers and enterprises among whom there is rapidly growing interest in the Bedrock Data platform. Heading into 2026, the priority is operationalizing governance at the data layer. Leaders need to build systems that maintain continuous visibility into their data sensitivity and exposure, trace how data moves through analytics and AI workflows and understand which models or agents interact with it. By grounding governance in the data itself, organizations turn oversight into a real-time capability rather than a periodic review.”
To assist enterprises in mapping model and agent data access from end-to-end across training and inference, and to validate guardrails protecting sensitive and regulated data, Bedrock Data introduced ArgusAI and Natural Language Policy in November 2025. ArgusAI automates the creation of a Data Bill of Materials (DBOM) that links AI models to their underlying datasets, conducts guardrail gap analysis to assess if controls prevent sensitive data use by AI models, and enables natural language policy enforcement across data, identity, and AI systems. The platform supports Amazon Bedrock Agents and ChatGPT Enterprise, among other AI platforms.
Earlier in August 2025, Bedrock Data made its Model Context Protocol (MCP) Server generally available. This technology allows agentic AI systems to access metadata context, facilitating autonomous governance. The company also rebranded from Bedrock Security to Bedrock Data, reflecting its expanded scope as a comprehensive platform for data visibility, governance, and management. Pranava Adduri, CTO and co-founder of Bedrock Data, noted, “As AI moved from experimental to production, enterprises realized their existing tools cannot clearly account for what data trains models, what data models and agents can access during inference, or whether guardrails actually prevent sensitive data access. ArgusAI addresses this by linking models and agents to their data and validating guardrail effectiveness, and creating targeted remediations. The MCP Server extends this governance into agentic AI systems, allowing policies to be enforced based on real data context. Together, they turn visibility into operational control across the entire AI lifecycle.” Both ArgusAI and the MCP Server are powered by the company’s Metadata Lake technology, which covers sensitivity, lineage, entitlements, and usage patterns across on-premises, cloud, SaaS, and AI environments.
To support its rapid scaling, Bedrock Data appointed Jon Engler as Vice President of Sales, Bryan Liberator as Vice President of Finance and Operations, and John Coyle as Vice President of Business Development. These hires aim to bolster sales execution, operational rigor, and partnership expertise. As part of the Series A funding announcement, Jason Risch of Greylock Partners joined the company’s board of directors.
In 2025, Bedrock Data received multiple industry accolades across cybersecurity, AI, and enterprise technology sectors. These included being named to Fortune’s Top 50 Cybersecurity Companies and being selected as a SINET16 Innovator from 193 applicants across 19 countries. The company also secured the 2025 CODiE Award for Best AI Powered Startup and Enterprise Security Tech’s Cybersecurity Top Innovation Award. Further recognition came as an Intellyx Digital Innovator, multiple Global InfoSec Awards, and finalist positions for InfoWorld’s Technology of the Year, SiliconANGLE’s Tech Forward Award for AI Governance & Responsible AI, and The A.
I. Awards. The company also forged strategic partnerships with Sysdig, Wiz, and Panther, integrating Bedrock Data’s metadata context into existing security platforms to broaden governance capabilities across enterprise security stacks.
Bedrock Data’s platform provides continuous, context-driven security and governance for enterprise data across private cloud, IaaS, PaaS, SaaS, and AI environments. Utilizing its patented Unified Metadata Lake and Serverless Outpost Architecture, Bedrock autonomously discovers, classifies, and contextualizes data in place without requiring data movement outside customer boundaries. Its open, API-first design facilitates integration with existing platforms and supports natural-language policy enforcement, AI governance, and automated remediation at enterprise scale. The company states that leaders in technology, finance, healthcare, and biotech rely on its solutions to operationalize data security.
