Nozomi introduces AI assistant for OT and IoT security
Briefly

Nozomi introduces AI assistant for OT and IoT security
"The solution runs as private AI within an organization and is trained on its own OT and IoT data. The company thus targets organizations that want to use AI without relying on public models or external data processing. According to Nozomi Networks, the number of cyberattacks on industrial environments and critical infrastructure is increasing. This is happening while the shortage of specialized security personnel continues."
"The AI assistant is context-aware. It bases its output on information about assets, network traffic, vulnerabilities, and threats within a specific environment. This allows responses to better align with the operational reality of OT and IoT networks. Analysts within security operations centers can use the assistant to assess and investigate incidents. At the same time, managers can gain insight into the security status without in-depth technical knowledge."
"Vantage IQ uses an internally running large language model tailored to OT and IoT data. Nozomi states that this model does not provide generic answers, but rather insights tailored to the environment in which it is deployed. The assistant can also make recommendations for follow-up steps and recovery measures, which are displayed directly within the existing Vantage interface. In addition to operational use, the solution is also aimed at management and governance."
Vantage IQ operates as an internally hosted AI trained on an organization’s OT and IoT data to avoid reliance on public models or external processing. The solution addresses rising cyberattacks on industrial environments and critical infrastructure while offsetting shortages of specialized security personnel by supporting existing teams. The context-aware assistant uses asset, network traffic, vulnerability, and threat information to produce outputs aligned with operational realities, helping analysts assess incidents and enabling managers to view security status without deep technical expertise. The internal large language model offers environment-specific insights, recommends follow-up and recovery steps in the Vantage interface, and translates technical details for executive reporting, supplementing human expertise to improve prioritization and effectiveness.
Read at Techzine Global
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