Identity Intelligence From Senzing Now Available Through Claude Connectors Directory

LAS VEGAS — Senzing, Inc., a leading Identity Intelligence company, today announced the availability of its entity resolution (ER) connector in the Claude Connectors Directory. The connector enables technical users to deploy and integrate Senzing ® ER into their own infrastructure to bring Identity Intelligence to their operations: a real-time, trusted identity graph that provides AI agents and other business-critical workflows with the essential context for decision-making.

“AI agents are making decisions and taking action at ever-increasing velocity. Now, with the Senzing connector, a member of the technical team can deploy Identity Intelligence within their organization’s infrastructure with unprecedented speed and ease. In fact, engineering teams will find it now takes one-tenth the human effort and is 100x more fun to combine data than any other entity resolution approach on the market. We are excited to be the first to bring industrial-grade, locally deployable entity resolution, the engine that powers Identity Intelligence, into the Claude ecosystem,” said Senzing Founder and CEO Jeff Jonas .

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The new Senzing connector makes enterprise-wide Identity Intelligence simple, efficient and achievable in weeks, not years. This breakthrough is especially timely as AI agents will need this same trusted identity data to deliver real governance.

“Agent governance depends on Identity Intelligence, which is why Senzing is a key component in the AAuth demonstrations I will be giving at AI conferences later this year,” said Dick Hardt, editor of OAuth 2.0 and author of the AAuth protocol. Single-prompt simplicity Technical users of the system can point Claude at any number of unmapped data files, in varying formats, with a single prompt as simple as “entity resolve all of this data using Senzing.” Using the knowledge provided by the Senzing connector, Claude profiles the data, then creates the code locally to map each file to Senzing JSON. Senzing is downloaded and deployed locally, and the data is entity resolved with no need for any data scientists to train, tune or set matching weights. A follow-on prompt, “Create a visualization to explore the results,” can quickly create a beautiful user interface tailored to their specific needs. And, adding more data to the system is as easy as “Add this new file to the identity graph.”

Organizations use the Senzing connector to launch their first trusted identity graph in a sidecar-style deployment, so it runs seamlessly alongside their existing systems without altering them in any way. Once the identity graph is created, it is instantly available to authorized agentic workflows and other business-critical processes, with no separate integration phase required.

Senzing Identity Intelligence is already at work across sectors where getting identity wrong is costly, such as government, financial services, insurance and healthcare.