The Industrial Defender for Splunk app centralizes machine learning and threat detection for OT environments to solve complex cybersecurity challenges with contextual endpoint and network data to quickly identify and mitigate potential cybersecurity issues like ransomware.
The Industrial Defender for Splunk app increases the effectiveness of detection and response efforts in OT environments by providing not just network data, but also contextual endpoint information including location, criticality, and contact information for the asset owner. The OT Machine Learning (OTML) Engine lets security teams incorporate information from their control system environments into existing data models to centralize machine learning and support advanced use cases like SOAR for OT systems.
Centralize OT machine learning and threat detection to effectively mitigate cyber risk across the enterprise.
Support the creation of incident response playbooks for OT systems to enable advanced use cases like SOAR.
Quickly detect and respond to a ransomware attack.
Reduce alert fatigue with fewer false positives.
The ID + Splunk app increases the effectiveness of using Splunk in OT environments by helping analysts to quickly identify and mitigate potential cybersecurity issues.
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Learn how Industrial Defender’s OTML Engine lets security teams incorporate information from their OT environments into existing data models for detecting, investigating and responding to cyberthreats such as ransomware.
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Industrial Defender’s OTML Engine lets security teams incorporate information from their OT environments into existing data models for detecting, investigating and responding to cyberthreats such as ransomware. Consuming this OT asset and network data in Splunk also supports the creation of incident response playbooks specifically for these systems to enable advanced use cases like SOAR.
