Why is asset identification challenging in ICS environments?

Different databases and sources characterize the same device in different ways. A Siemens PLC might be labeled differently in Siemens databases, CVE advisories, and network traffic, making standardized identification difficult and time-consuming.

How does Claroty's CPS library address asset identification challenges?

The CPS library uses AI to collect information from multiple sources and create a standardized framework for device identification and categorization, reducing the time required for asset characterization in ICS environments.

Claroty: AI-Driven Asset Identification in ICS Environments

Name: Claroty: AI-Driven Asset Identification in ICS Environments
Uploaded: 2026-05-11T18:06:07-04:00
Duration: 1 min 29 s
Description: For many organisations, one of the biggest hurdles in securing ICS environments is simply identifying assets accurately. Disparate vulnerability databases, inconsistent device naming, and fragmented data sources can make asset characterisation slow and...

Claroty

05/11/2026

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TL;DR

Asset identification in ICS environments is complicated by inconsistent naming conventions across vulnerability databases, vendor documentation, and network traffic sources.
A single device like a Siemens PLC can be characterized differently across multiple databases, creating delays in detection and categorization.
Claroty's CPS library uses AI to standardize asset data from multiple sources, accelerating identification and supporting NIS2 compliance efforts.

Summary

Claroty Principal Solutions Architect Arik Diamant addresses a critical challenge in industrial control system security: the complexity of accurate asset identification. He explains how inconsistent device naming conventions across vulnerability databases, vendor documentation, and network traffic create significant obstacles for security teams. A single Siemens PLC, for example, may be characterized differently in Siemens databases, CVE advisories, and network traffic analysis, leading to delayed detection and categorization. Claroty's response is the CPS library, a standardized framework that leverages AI to aggregate information from multiple sources and accelerate asset identification. This approach aims to reduce the time required for device characterization and improve overall cyber resilience in ICS environments, particularly in the context of NIS2 compliance requirements.

Chapters

0:00 - Asset Characterization Challenge
0:20 - Database Inconsistencies
1:00 - CPS Library Solution

Key Quotes

0:41 "All of that is kind of, it's a bit messy and requires, usually the outcome is much more time in terms of detection, in terms of characterization and categorization, identification of those devices."
1:04 "We call it the CPS library. I guess some of you heard about it. And we are using AI in this case, in order to collect more and more information from more and more sources and expedite the identification and categorization of assets in an ICS environment."

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