User behavior analytics (UBA) is the benefit of monitoring systems to track, collect and evaluate user data and activity, and finds anomalies and unknown threats that traditional security tools had missed. Leverage deep investigative capabilities and powerful behavioral baselines for any entity, anomaly, or threat. Improve visibility and detections by enhancing threat detection for customized incident response.
Data security is a top priority for businesses today. In order to protect their data, businesses need to be able to quickly identify and resolve potential threats. Machine learning can help businesses automate this process by identifying hidden threats that would otherwise go unnoticed.
In order to gain context, it is important to visualize threats across a kill chain. By
stitching together anomalies from different users, accounts, devices and applications, you can get a clear picture of attack patterns.
In order to prevent lateral movement of malware or malicious insiders, it is important to monitor behavior-based irregularities and identify any botnet or C&C activity. By doing so, you can take steps to protect your network and data.
Organizations can now create customized anomaly models that take into account their processes, policies, assets, user roles and functions. This provides them with granular feedback so that they can improve confidence in threat severity and detection.
Quickly discover and track targeted threats before they compromise your business. With our advanced threat detection,you can proactively discover unknown or abnormal behavior that traditional security tools miss.
Reduce incident downtime and keep your security posture updated with a single, powerful built-in tool that can help you automate the process of scanning, investigating, and quickly acting on threats.
The Accelerate threat hunting solution enables you to use deep investigative capabilities and powerful behavior baselines on any entity, anomaly or threat.The innovative architecture delivers real-time intelligence in order to identify, detect and track advanced attacks.
Interactive dashboards provide the contextual details behind security events, helping to identify root causes. This capability can save considerable time and effort in troubleshooting
Log data review is a time-consuming and often repetitive task for security professionals.
Access-related events and activities can be easily monitored using dashboards and reports.
Accelerate time to value with step-by-step guided workflows to build and deploy models for common business challenges.
Operationalize your machine learning: Collect and analyze data, train models iteratively, and set alerts — in real time.
Develop production models for outlier and anomaly detection, predictive analytics, and clustering.
Partition your data with clustering algorithms to figure out which hosts behave similarly or to identify hidden patterns, such as undiscovered trends in online purchases, anomalies in security environments and spikes in resource use.
Build predictive models around numeric or categorical events that are crucial to your business. Use those predictive models for planning, or to uncover anomalies in your earnings, costs, demands, usage, capacity,etc.
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