Actionable IoT Data

Splunk for Industrial IoT, Splunk’s first Internet of Things (IoT) solution, combines the power of Splunk Enterprise, the Splunk Machine Learning Toolkit, and Splunk Industrial Asset Intelligence (IAI) to provide a simple view of complex industrial data, helping industrial organizations minimize downtime, shift operations from reactive to proactive and save money.

Splunk for Industrial IoT gives customers the proven benefits of Splunk Enterprise, such as data analytics and reporting powered by machine learning, combined with new, drag-and-drop capabilities specifically to address common challenges for industrial organizations, such as unplanned downtime, which can cost organizations up to $38M annually1.

Splunk Industrial IoT also includes:

• Security and Compliance for Industrial Control Systems (ICS) - Powered by Splunk Enterprise, Splunk for Industrial IoT helps secure and safeguard ICS systems from emerging and persistent cyber threats, allowing OT environments to embrace an analytics-driven approach to security.
• Advanced Monitoring & Diagnostics - Industrial Operators are increasingly looking to their sensor and other machine data to better monitor and diagnose operational issues from industrial assets such as turbines, pumps and compressors. Splunk for Industrial IoT gives customers real-time visibility into the health of these assets, providing monitoring, alerting and diagnostics across multiple data sources. Splunk for Industrial IoT also helps monitor the uptime and availability of ICS, SCADA systems, distributed control systems and process control software.
• Ready-to-apply Machine Learning models for Industrial IoT - Equipment downtime can cost organizations tens of millions of dollars per year. Powered by Splunk’s Machine Learning Toolkit, Splunk for Industrial IoT gives customers the ability to apply proven algorithms for prediction, anomaly detection, clustering and forecasting to help identify early warning signs and predict downtime of ICS and critical assets.