Enabling AI-Native Access to Enterprise Data Context — Securely, Intelligently, and at Scale
Agentes de IA are only as smart as the context they can access — and for most enterprises, that context remains locked behind complex systems, controls, and silos. BigID’s new Model Context Protocol (MCP) Server changes that equation. It enables AI-native access to enterprise data context — securely connecting AI agents to metadata, insights, and governance across all data.
Built on BigID’s foundation of descubrimiento y clasificación, the MCP Server gives AI agents a governed way to understand, reason over, and act on enterprise data context — not raw data — helping organizations bring trusted intelligence directly into AI workflows.
When AI Lacks Context, Accuracy Suffers
Enterprises are investing heavily in AI, but most AI tools still operate with limited context. They can’t see how data is structured, where it comes from, or what risks it carries. Proprietary data often sits behind APIs, controls, or security layers that make it inaccessible — limiting AI’s usefulness and increasing risk.
Without secure, governed access to metadata, AI models struggle to deliver accurate or explainable results. They can’t differentiate sensitive information from public data or apply organizational policies effectively.
A Secure Bridge Between AI and Enterprise Data Context
Con el Servidor MCP de BigID, organizations can give their AI agents AI-native access to enterprise metadata — securely, contextually, and at scale.
The MCP Server acts as a governed bridge between AI agents and BigID’s data intelligence, providing visibility into hundreds of data sources — structured, unstructured, cloud, on-prem, business applications, legacy systems, and AI frameworks — all through one integration.
Using token-based authentication y control de acceso basado en roles (RBAC), the MCP Server ensures agents only see the metadata and insights they’re authorized to view — not the underlying data.
Once connected, AI agents can query enterprise context in plain language, retrieve governed insights in seconds, and generate visual summaries — turning complex, manual tasks into instant, contextual intelligence.
Cómo funciona
The MCP Server connects BigID’s enterprise metadata to AI environments like Claude — securely, intelligently, and with full governance.
AI agents can:
- List tools: Discover available APIs and the metadata they expose.
- Call tools: Execute approved API calls to retrieve governed insights and summaries.
For example:
- Ask, “What are the top five files containing PII?” — and get filenames, PII types, risk levels, and remediation recommendations.
- Say, “Show me a summary of my data catalog” — and the agent creates an interactive dashboard visualizing data sources, sensitivity levels, and risk distribution.
It’s data context in action — automated, explainable, and secure.
Built for Enterprise Use
Unlike typical MCP servers, BigID’s MCP Server is built for the enterprise:
- AI-Native Integration: Secure, seamless bridge between AI agents and enterprise data context — unlocking governed, contextual visibility across all data sources.
- Broadest Data Source Coverage: Structured, unstructured, cloud, on-prem, business applications, legacy systems, and AI frameworks — all discoverable through one integration.
- Deepest Data Context: Unmatched classification, sensitivity, identity, retención, compliance, and risk metadata — delivered to AI for more accurate, explainable, and governed intelligence.
- Secure by Design: Token-based authentication and RBAC authorization govern every AI interaction, ensuring policy-based control and visibility.
- Actionable Visualization: Let AI agents transform enterprise data context into flexible reporting and visual insights — turning governance and context into action.
By extending enterprise data context into the AI layer, BigID enables customers to give their agents not just access, but understanding.
Redefining AI Data Access — Securely
BigID’s MCP Server represents a new way to operationalize AI safely and intelligently.
Customers can:
- Empower AI agents to securely explore and analyze enterprise data.
- Automatice reporting and insights with built-in governance.
- Extend privacy, security, and compliance controls into AI workflows.
It’s a foundation for AI that’s not just powerful — but trusted, governed, and context-aware.
Más información
Learn how to bring secure, contextual data intelligence into your AI workflows – set up a 1:1 with one of our AI and data experts today!
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