Personalized Customer Experience
According to Forrester, 80% of U.S. adults report that the quality they most value in a customer service exchange is when the company values their time. Machine learning facilitates this appeal, by analyzing customer experience and behavior on your platform and tailoring their experience you can drive people to your product or service and turn them into regular users.
Increase Data Security & Management
Allow machine learning to continuously grow and understand through customer and machine generated data. Machine learning will analyze such data to provide patterns in order to better detect malware in encrypted traffic, find insider threats, allow safe browsing through prediction driven analytics, and uncover suspicious user behavior.
Enhance Visibility and Detection, automate threat detection using machine learning so you can spend more time hunting with higher fidelity behavior-based alerts for quick review and resolution.
- Advanced Threat Detection, Discover abnormalities and unknown threats that traditional security tools miss
- Higher Productivity, Automate stitching of hundreds of anomalies into a single threat to simplify a security analyst’s life
- Accelerate Threat Hunting, Use deep investigative capabilities and powerful behavior baselines on any entity, anomaly or threat.
The Splunk® platform uses artificial intelligence powered by machine learning to identify anomalies and patterns that can speed investigations and intelligence discovery. With Splunk software and machine learning, teams can reduce event clutter and support automated detection of insider threats and external attacks. Splunk also provides the Machine Learning Toolkit, a guided workbench where teams can create, test and deploy flexible models. The Splunk platform includes over 25 commonly used machine learning algorithms that can be applied directly to data for detection, alerting or analysis, all without ever leaving the Splunk platform.