Splunk is releasing its first Internet of Things solution, titled Splunk for Industrial IoT, aiming to provide a simple view of complex industrial data.
Splunk Industrial IoT combines the power of Splunk Enterprise, the Splunk Machine Learning Toolkit, and Splunk Industrial Asset Intelligence (IAI).
Building on Splunk’s well-established success in IT and security, Splunk for Industrial IoT gives Operational Technology (OT) teams and organizations in manufacturing, oil and gas, power, transportation, energy and utilities the power to easily monitor, optimize and secure industrial applications, data, and assets.
“Splunk for Industrial IoT is bringing industrial operations into the modern era by helping Operational Technology teams keep factories running, increase production and predict problems – while keeping operations secure,” said Ammar Maraqa, senior vice president and general manager of IoT Markets, Splunk. “Industrial organizations have lacked easy-to-use, real-time data analytics that use machine learning to help predict downtime and prioritize alerts across disparate systems so the business can take action.”
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.
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.
For more information about this platform, visit www.splunk.com.