Runtime Dashboard
The Runtime dashboard provides visibility into your runtime environment, including cluster health, open source risk exposure, and container image usage.
It helps you understand the security posture of your running workloads and which images are high-risk and what their sources are.

Use this dashboard to:
Focus on exploitable risks.
Prioritize high-risk container images for remediation.
Monitor usage of base and public images across environments.
Validate that images are sourced from trusted registries.
Connected Clusters
Displays OX Runtime Sensors on Kubernetes clusters. Clicking View Health Center opens the Runtime Sensor Health Center, a dedicated dashboard that provides full visibility into the health and status of all your Runtime Sensors.

Connected Clusters: All monitored clusters and their current health status at a glance.
Connected Sensors Over Time: A trend graph showing how many Runtime Sensors have been connected at any given point in time. This view helps you detect unexpected drops, for example, if you normally have 60 Runtime Sensors connected and the count drops to 45, you can identify and investigate the shift immediately.
Sensor Health: The list of all the monitored clusters.
Cluster Details
Clicking on a Cluster Name within the Health Center opens a detailed view for that specific cluster. The view is divided into two areas, Cluster Info and Nodes.
This per-cluster, per-node breakdown supports a range of use cases, from routine health monitoring to audit and compliance scenarios where you need to demonstrate sensor availability and resource consumption over time.

Cluster Info is a summary of the cluster-level details.
Cluster Name
The name of the cluster
Cloud Type
The cloud provider the cluster runs on (for example, AWS)
Cloud Account
The cloud account ID associated with the cluster
Sensor Version
The version of the Runtime Sensor currently deployed
Cluster Status
Overall health status of the cluster (Healthy / Unhealthy)
Healthy Nodes
Number of nodes currently in a healthy state
Unhealthy Nodes
Number of nodes currently in an unhealthy state
Nodes table is a per-node breakdown of all nodes in the cluster.
Node Name
The name of the node
Last Activity
When the node last reported activity, including the exact timestamp
Sensor Memory
Memory currently consumed by the Runtime Sensor on that node
Sensor CPU
CPU currently consumed by the Runtime Sensor on that node
Sensor Status
Health status of the sensor on that node (for example, Healthy)
Open Source Issues Funnel
Visualizes how open source risks are distributed and prioritized. This funnel helps you focus on the issues most likely to be exploited in runtime.
All issues
Total number of detected open source issues
Packages loaded
Issues in packages that are actively used in runtime
Known exploit
Issues with publicly known exploits
EPSS/AI-simulation prioritized
Issues with a higher likelihood of exploitation based on scoring and simulation
KEV / malicious dependency prioritized
Issues linked to known exploited vulnerabilities or malicious dependencies loaded in runtime
Top Risk Images
Lists container images with the highest risk across your clusters. Use this table to prioritize remediation for the most critical runtime exposures.
Image
Name of the container image
Cluster
Cluster where the image is running
Context
Indicators such as exposure, privilege level, or runtime conditions
Image age
Time since the image was built
Application
Associated registry or repository
Severity
Highest detected risk level for the image
Most Used Base Images
Shows the base images most frequently used across your environment.
Helps identify standardization patterns
Highlights widely used images that may introduce systemic risk
Focus on securing commonly used base images to reduce overall exposure.
Most Used Public Images
Displays the most frequently used public container images.
Includes images pulled from public registries
Indicates how widely each image is used
Public images increase supply chain risk, so this view helps identify where to apply stricter controls.
Image Registry Source
Breaks down image usage by registry source.
Amazon ECR
Docker Hub
Other registries
Use this to understand where your images originate and assess trust levels for each source.
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