To solve this, Claroty recently unveiled its AI-Powered CPS Library, a first-of-its-kind authoritative mapping engine designed to be the "universal translator" for industrial and healthcare hardware.

At its core, this is an Entity Resolution (ER) challenge and the purpose of the system is to solve the identity crisis by matching and consolidating noisy real-world data into a single source of truth. To achieve high-fidelity deterministic traceability, we moved beyond standard matching algorithms, engineering a hybrid architecture that combines battle-tested, classic ER methods with the cognitive power of Generative AI.

In response to a critical industry pain point, we partnered with Databricks through their GenAI MVP program. This collaboration leverages our specialized offering and Databricks’ Data & AI capabilities to deliver a definitive solution to the problem.

Imagine a typical situation in a factory: Claroty’s xDome finds a device with a model number like 1769-L36ERMS/B using the CIP protocol. For a person or a simple security tool, this is just an internal Rockwell Automation code—it’s not in any vulnerability databases and doesn't immediately suggest any risk.