Splunk User Behavior Analytics
Safeguard your organization from unidentified threats using Splunk User Behavior Analytics, which focuses on user and entity behavior.
How it works
Leverage machine learning to identify threats and detect abnormal behavior effectively.
Advanced threat detection
Uncover anomalies and unidentified threats that conventional security tools overlook.
Accelerate threat hunting
Leverage advanced investigative capabilities and robust behavior baselines to analyze entities, anomalies, and threats in depth.
Boost productivity
Automate the consolidation of numerous anomalies into a single threat, streamlining incident investigations.
Features
Discover unknown threats using machine learning
Elevate visibility and enhance detection capabilities to identify both known and unknown cyberattacks, as well as hidden threats and insider activity.
Streamlined threat workflow
Streamline the review and resolution process by reducing billions of raw events to a concise set of tens of threats. Leverage machine learning algorithms to uncover hidden threats without the need for extensive human analysis.
Threat review and exploration
Gain valuable context by visualizing threats across the kill chain. Anomalies are intelligently connected across users, accounts, devices, and applications, enabling you to easily identify attack patterns and visualize the complete picture of the threat landscape.
User feedback learning
Tailor anomaly models to align with your organization’s unique processes, policies, assets, user roles, and functions. Customize the models to fit your specific requirements and receive detailed feedback to enhance confidence in threat severity and detection. This customization empowers you to fine-tune the system according to your organization’s needs and improve the overall effectiveness of anomaly detection.
Kill chain detection and attack vector discovery
Identify instances of malware spreading laterally or the proliferation of malicious insiders. Detect behavior-based anomalies that indicate irregularities and pinpoint activities related to botnets or command-and-control (C&C) operations. By leveraging behavior-based detection techniques, you can effectively identify and respond to threats associated with the movement of malware or insider threats, as well as activities related to botnets or C&C infrastructure.