Streamlined threat workflow
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.
Threat review and exploration
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.
Kill chain detection and attack vector discovery
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.
User feedback learning
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.
Advanced Threat 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.
Boost Productivity
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.
Accelerate Threat Hunting
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.
Visualize Risk
Interactive dashboards provide the contextual details behind security events, helping to identify root causes. This capability can save considerable time and effort in troubleshooting
Uncover Threats
Log data review is a time-consuming and often repetitive task for security professionals.
Demonstrate Compliance
Access-related events and activities can be easily monitored using dashboards and reports.
Family of smart assistants
Accelerate time to value with step-by-step guided workflows to build and deploy models for common business challenges.
Actionable intelligence
Operationalize your machine learning: Collect and analyze data, train models iteratively, and set alerts — in real time.
Accelerate ML use cases
Develop production models for outlier and anomaly detection, predictive analytics, and clustering.
Cluster Numeric Events
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.
Predict Numeric and Categorical Fields
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.
