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BigID Context Engineering for AI Agents
BigID interactive demoSecure data context for AI agents

BigID Context Engineering for AI Agents

AI agents perform better when they receive context with their instructions. For customer data, that context is metadata: what the data means, where it came from, how sensitive it is, and who owns it. This tour shows how BigID builds that context and shares it with agents securely.

Index and inventoryStructured and unstructured data, from code and files to emails, mapped at scale.
Catalog the metadataSensitivity, ownership, history, and activity captured with each object and exposed through APIs and MCP.
Discover agent identity and roleKnow which agents exist, who sponsors them, and what purpose they are approved for.
Control access to data and metadataEach agent sees only what its identity, role, and intent allow, with a decision for every object.

Choose how to explore

You will move through the product screens, starting with the data inventory and ending in the metadata catalog. Switch modes at any time with the toggle above the screen.

Guided tourNext and Back walk through each screen with the talk track and a prompt for what to click.
Explore on your ownEvery hotspot is live. Hover or click to read what each part of the screen does.

See this on your own data

BigID scans the data, catalogs its metadata, resolves agent identity, and enforces access to both data and metadata, which makes context engineering for AI practical today. A short session with our team shows it running in your environment.

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