Claroty has launched the CPS Library, an innovative asset catalogue integrated within its Claroty xDome and Claroty Continuous Threat Detection (CTD) solutions.
This unique repository increases visibility into cyber-physical systems (CPS) and provides precise traceability for vulnerability attribution.
Developed with input from automation vendors and medical device manufacturers such as Rockwell Automation and Schneider Electric, the CPS Library offers enhanced tracking of asset specifications.
Claroty Team82 research highlights CPS challenges
The report revealed that 88% of CPS assets fail to transmit exact product codes
According to the latest Claroty Team82 research report titled “Resolving the CPS Identity Crisis,” security teams often struggle with assessing and remediating cyber risks due to the absence of a centralised asset repository.
The report revealed that 88% of CPS assets fail to transmit exact product codes, while 76% provide product names differing from vendors' records. This creates substantial blind spots and hinders complete vulnerability assessments.
Revolutionising risk reduction
"Resilience starts at visibility, and organisations require precise and deterministic traceability for every connected device that could potentially become exposed as an open door to attackers," stated Yaniv Vardi, CEO of Claroty.
The CPS Library aims to revolutionise risk reduction through AI-fuelled advancements and industry expertise, driving forward improvements in risk and exposure management.
AI integration in asset management
At the core of the CPS Library is advanced AI integration that facilitates enhanced asset identification, precise vulnerability mapping, and automated insight generation.
The use of large language models and statistical inference modelling enables effective categorisation and correlation of fragmented asset data, easing the security teams' burdens in complex CPS environments.
Enhancing CPS security through AI
The CPS Library showcases Claroty's strategic AI trajectory, optimising security outcomes within mission-critical environments. Notable AI features include the Claroty MCP Server, which automates device queries to expedite incident response, and the integration of regionalised Large Language Model Retrieval Augmented Generation (LLM-RAG) for optimal asset discovery.
Empowering industrial automation protection
Rockwell Automation's Vice President, Tony Baker, expressed enthusiasm for collaborating with Claroty on the CPS Library, highlighting the importance of precise device identification in protecting industrial automation assets from evolving cyber threats.
In a world where cybersecurity intertwines with smart manufacturing, the ability to accurately pinpoint devices is crucial.
A significant advancement for the industry
Jay Abdallah from Schneider Electric noted that Claroty's CPS Library marks a significant advancement for the security sector.
It offers a standardised solution to the longstanding issue of fragmented CPS asset management, improving risk visibility and enabling more confident, rapid decision-making to safeguard critical operations. The CPS Library serves as a foundational tool for enhancing resilience in interconnected environments.
Claroty, the cyber-physical systems (CPS) protection company, launched The CPS Library across its market-pioneering Claroty xDome and Claroty Continuous Threat Detection (CTD) solutions.
The CPS Library is the industry’s only asset catalogue that reaches new depths of visibility and enables precise and deterministic traceability for vulnerability attribution.
To build the AI-powered, first-of-its-kind repository, Claroty partnered with automation vendors and medical device manufacturers, including Rockwell Automation and Schneider Electric, to ensure enhanced visibility and accuracy in tracking asset specifications.
Claroty Team82 research report
Security teams have long struggled to accurately assess the scope and remediation of cyber risk associated with the assets in their environment, lacking a centralised standard repository that aids in uniquely identifying assets across networks.
A new Claroty Team82 research report, “Resolving the CPS Identity Crisis,” found that 88% of CPS assets currently do not transmit an exact product code, and 76% transmit product names that differ from the vendor's official record.
This leaves security teams struggling to ascertain whether they have a complete picture of the assets in their environments, and can be left with a partial correlation of vulnerabilities to individual assets, creating blind spots, prolonged exposure to attacks, and incomplete remediation.
Precise and deterministic traceability
“Resilience starts at visibility, and organisations require precise and deterministic traceability for every connected device that could potentially become exposed as an open door to attackers,” said Yaniv Vardi, CEO of Claroty.
“The CPS Library is revolutionising the way we reduce risk by leveraging AI-driven techniques combined with our unmatched industry expertise that will drive the whole industry forward in how we improve accurate risk and exposure information.”
Deeply integrated AI
The CPS Library has AI deeply integrated at all stages, allowing for advanced asset identification, precise vulnerability mapping, and automated insight generation.
LLMs and statistical inference modelling are used to ingest vast, fragmented data about assets and vendors, intelligently modelling, categorising, and correlating this information into a single, actionable source of truth that significantly lessens the burden of security teams tracking critical CPS assets across complex environments.
The CPS Library is a central component to the next evolutionary stage of Claroty’s AI strategy. With Claroty’s unrivaled expertise in mission-critical environments, combined with harnessing AI to improve security outcomes, The CPS Library enhances organisations' ability to detect assets and gain deep insights. Additional AI capabilities include:
- The Claroty MCP Server: Customer teams can put their CPS security data to work by automating device queries, speeding up incident response, and expanding the ability to leverage this data by all relevant teams using their preferred generative AI tool.
- AI for Asset Identification: Statistical inference modelling, human-machine teaming, and a regionalised Large Language Model Retrieval Augmented Generation (LLM-RAG), work together to provide the most accurate and complete asset discovery and attribute information in the industry.
Protecting industrial automation assets
“We’re excited to deepen our relationship with Claroty in supporting its new CPS Library,” said Tony Baker, Vice President & Chief Product Security Officer at Rockwell Automation.
“Cybersecurity is becoming even more complex in an increasingly interconnected world and is intertwined with smart manufacturing priorities that demand precise device identification. The granularity of device identification honed by the Claroty CPS asset library empowers organisations to better protect their industrial automation assets from evolving threats.”
Major step forward for the industry
“Claroty's CPS Library represents a major step forward for the industry,” said Jay Abdallah, President of Cybersecurity Solutions at Schneider Electric.
“For too long, security teams have faced fragmented approaches to identifying and managing CPS assets, leaving gaps in risk visibility.”
“This standardised catalogue brings clarity and consistency to an incredibly diverse asset landscape, enabling organisations to make faster, more confident decisions to protect critical operations. It's not just a tool, it's a foundation for advancing resilience in connected environments.”
