Industrial Defender Delivers Industry-First OT Machine Learning Engine Using Both Network and Endpoint Data

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Supports machine learning at scale to mitigate cyber risks, including ransomware, for OT environments across the enterprise using Splunk’s Machine Learning Toolkit

Foxborough, MA – October 14, 2021 — Industrial Defender, an operational technology (OT) security pioneer, today announced another industry-first in their long line of innovations, a new OT Machine Learning (OTML) Engine. The OTML Engine is powered by Industrial Defender’s contextual OT endpoint and network data and uses the extensive Splunk Machine Learning Toolkit algorithms, to help businesses implement machine learning at scale across OT environments.

As cyberattacks grow increasingly sophisticated, businesses require centralized machine learning for IT and OT environments – both of which have generally remained disparate and siloed to date – to develop stronger, more accurate data models for detecting, investigating and responding to potential threats. Consuming OT asset and network data in Splunk supports the creation of incident response playbooks specifically for these systems to enable advanced use cases like SOAR.

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