Original press release published here.

NEW YORK –September 8, 2025 - BigID, the leader in data security, privacy, compliance, and AI governance, today announced the availability of its Model Context Protocol (MCP) server capability, transforming how organizations report on and interact with their BigID data. With this capability, enterprises can generate reports, summaries, and insights in seconds - cutting manual effort, eliminating bottlenecks, and accelerating decision-making.

Most organizations rely on dashboards, exports, and specialized teams just to get answers from their data - slowing decisions at a time when enterprises must move faster and adopt AI responsibly. Without easier access to governed data, organizations struggle to keep pace. BigID's MCP server capability solves this by letting teams query, summarize, and build outputs conversationally through the AI tools they already use, making reporting faster and more accessible.

Key Takeaways:

• Faster reporting: Generate reports and outputs in seconds instead of days.

• Ease of use: Ask questions in plain language through AI assistants without specialized training.

• Flexible access: Connect BigID data to Gemini, Claude, Copilot, VS Code, CLI, and other MCP-enabled tools.

• Governed insights: Extend data access securely while maintaining control of sensitive information.

"With our MCP server capability, we're giving organizations a new way to unlock value from their BigID data," said Dimitri Sirota, CEO at BigID. "It's not just about faster reporting – it's about enabling teams to interact with information in smarter, simpler ways, while building trust and accountability into every AI workflow. This is another step forward in making data actionable across the enterprise."

With this new capability, BigID reinforces its role as the trusted platform for connecting governed data to AI. By extending secure access to MCP-enabled tools, BigID allows organizations to move faster, streamline reporting, and put AI-driven insights into the hands of more users.

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