AI Context Governance

AI You Trust.
Data You Control.

Dynamically connect the business significance and relevance to data you give to AI models, to deterministically control data quality and agent security.

Detection Flow Illustration

Govern each data-element in AI context windows for AI Trust, Explainability, and Security

AI agents and applications see your data as a collection of individual elements—sentences, paragraphs, tables, and images—nearly all of which are duplicated across multiple documents, databases, and applications.

Caber uniquely tracks these elements as they move through your systems, to identify what they mean, and how they should be used, to ensure AI uses the right data, at the right time, and in the right way.

Data Identification

Precise data identification

Caber starts where data classification ends identifying the business context by the relationships data elements have with each other inside and between documents, and the metadata that describes them in storage, databases, and APIs.

Data Usage

Audit trails and observability

Through optional SDK and API integrations, Caber traces the use and movement of data elements in AI applications and APIs. By following the path of data Caber is able to connect API calls and AI agent data use back to the user requests are made for.

Confident Action

Control data quality and security

Build business logic based on the user and data identity to filter data before it reaches AI models for inference. Caber can also detect and redact junk and duplicate data to compact context windows, reduce AI model costs, and improve performance.

Faster than AI alone

Faster than AI alone

Caber uses patented algorithms to build relationships between elements up to 100,000x faster and more scalably than can be done using AI models alone—all without adversely impacting user experience.

See Caber in Action

Let us show you how you can turn your data into knowledge with control and scale.