This caption describes the interactive product demo on the page: a security engineer works in the Subimage graph explorer next to its AI agent. The engineer asks whether demo.subimage.io fronts a running container, and the agent draws the path from that hostname through the load balancer to the running containers, their images, and the GitHub repository that built them. The engineer also works the graph directly: selecting the demo-backend container opens its properties, showing that it is running, exposed to the internet through the load balancer, and which image digest it runs. Asked what the backend's task role can reach, the agent adds the role, the two secrets it can read, and the orders database and production bucket it can write. The engineer expands the demo/api secret's tags onto the canvas and selects the Environment=prod tag to inspect it. The finding becomes an issue with a triage rationale, is routed to the infrastructure team as a Linear ticket, and the agent opens a pull request that refreshes the container's pinned base image.
Ask complex questions that static rules can't cover, and explore the evidence yourself.
Detect, auto-triage, and fix vulnerabilities in your codebase, in built images, and at runtime.
A deterministic engine that maps every route from the internet to your assets. Built for red and blue teams.
Follow any user or service account across chained trust boundaries.
Bring the graph to your own tools and workflows.
Subimage scans hourly and uses read-only access to pull data across cloud resources, identities, code, devices, and more.
What we collect lands in one graph for analysis. A host, an identity, and a repository stay linked, so you can inspect relationships instead of reconciling tools.
We scan for issues, auto-prioritize them, suggest fixes, and deliver tickets and reports to the workflows you already use.
Subimage delivers issues, tickets, and pull requests. You dive in when you want to.