BigID, the leader in data security, privacy, compliance, and AI governance, announced the launch of the first Model Context Protocol (MCP) server designed to unlock AI-native access to enterprise data context across the broadest range of data sources — structured, unstructured, on-prem, cloud, business applications, and AI frameworks. Built on BigID’s discovery and classification foundation, the MCP Server gives AI agents secure, governed, and contextual visibility into enterprise metadata — enabling AI to understand, reason, and act on data safely. With this new capability, organizations can query their enterprise data context with natural language, get instant, context-rich answers with recommendations, and generate flexible reports in seconds — transforming how teams explore, understand, and operationalize their data for AI.
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Through the MCP Server, AI agents like Claude can securely connect to BigID’s platform using token-based authentication and role-based authorization to govern access. Once connected, agents gain access to rich metadata, lineage, sensitivity, and risk context — without ever touching the raw data itself. The result is a secure, governed bridge that enables AI agents to reason over enterprise data context safely, with full visibility and control.
Key Takeaways
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“BigID’s MCP Server is a breakthrough in connecting trusted data intelligence with the next generation of AI tools,” said Dimitri Sirota, CEO of BigID. “By bridging our discovery and classification capabilities with AI workflows, customers can unlock their proprietary enterprise data and use it in their AI applications in a secure way.”
This launch is part of BigID’s broader strategy to make enterprise data context accessible to AI – enabling organizations to operationalize security, privacy, and governance directly within their AI workflows.
The post BigID Unveils First MCP Server to Connect Enterprise Data with AI Agents first appeared on PressReleaseCC.
BigID Unveils First MCP Server to Connect Enterprise Data with AI Agents first appeared on Web and IT News.
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