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Context is the difference. Heeler gathers it for you.
Many tools hand your code to an LLM and hope it reasons its way to the right answer. Security cannot run on hope: the same finding has to get the same answer every time. Heeler gathers the context itself, from your catalog and ownership to what actually runs, so it can be deterministic wherever security requires it, and use AI where it helps.
Everything you build and run, in one catalog.
Heeler builds the inventory itself. Source control fills in your code and agent files, the optional workstation sensor adds what agents actually do, and your cloud and registries add everything that runs.
Every finding, linked to what runs, what matters and who owns it.
Heeler models how your code becomes a running service, where it is exposed, how critical it is and who owns it. Autotriage reads that model to decide what comes first. Here are two findings in one service, with two different answers.
Every finding goes to the team that should fix it.
Autotriage decides how urgent it is. Heeler then walks the ownership you already keep, from a rule for one package down to the repository's team, and stops at the first real team. That team gets a ticket, a message and an Auto-fix pull request.
The same context behind every guardrail, fix and workflow.
Connect it all. Heeler builds the rest.
Each connection is an app install, a token or a read-only role, with nothing to change in your code or pipelines. Every one you add sharpens how Heeler ranks, routes and fixes.
Heeler adapts to you, not the other way around
It reads what your teams already use and sends work back to the same places.
Compare approved designs with observed architecture
Use observed services and infrastructure to inform a threat model. Evaluate supported conformance checks against the approved model and retain evidence for code and deployed environments separately.
Design conformance checks
