Splunk, a software platform provider for real-time Operational Intelligence, has released several new versions of its suite of Splunk products: Splunk Enterprise, Splunk IT Service Intelligence, Splunk Enterprise Security, and Splunk User Behavior Analytics. Available on-premises or in the cloud, the newest versions of Splunk solutions leverage machine learning to make it faster and easier to maximize the value machine data can deliver to organizations.

Machine learning is bringing big data analytics into a new era, and Splunk is enabling companies to use predictive analytics to help optimize IT, security and business operations.

“Digital transformation has changed the way that organizations work,” said Splunk President and CEO Doug Merritt. “The big secret is that all of the change is underpinned by machine data. Machine learning enables organizations to get deeper insights from their machine data and ultimately increases the opportunity our customers can gain from digital transformation.”

Machine learning is being integrated as a core capability of the Splunk portfolio with packaged or custom algorithms to operationalize machine data in a variety of valuable use cases such as:

Focused investigation: Identify and resolve IT and security incidents by automatically detecting anomalies and patterns in data.

Intelligent alerting: Reduce alert fatigue by identifying normal patterns for specific sets of circumstances.

Predictive actions: Anticipate and react to circumstances such as proactive maintenance that might otherwise disrupt operations or revenue.

Business optimization: Forecast demand, manage inventory and react to changing conditions through analysis of historical data and models.

The newest versions of Splunk solutions include:

Splunk Enterprise Security (ES): improves detection, investigation and remediation times by centrally automating retrieval, sharing, and response through Adaptive Response and analytics-driven decision making.

Splunk User Behavior Analytics (UBA): enhances threat detection and allows users to gain targeted detection by prioritizing outcomes generated by packaged machine learning-based anomaly detection.

Splunk Cloud and Splunk Enterprise 6.5: provides advanced analytics delivered by a rich set of commands and a guided workbench to create custom machine learning models for IT, security, and business use cases.

Splunk IT Service Intelligence (ITSI): helps organizations find root cause faster and lower mean time-to-resolution by providing unified service visibility, detecting emerging problems, and simplifying incident investigations and workflow.