AI is uncovering vulnerabilities faster than ever, and attackers use AI to weaponize them, often within a day. A backlog is no longer a place risk can wait. Burn down the backlog with deterministic fixes, exploitable first. Heeler automates security at every stage of the AI SDLC, from prompt to runtime.
AI is uncovering vulnerabilities faster than ever and attackers use AI to weaponize them. Risk can no longer wait in a backlog: it has to be prevented and fixed at machine speed.
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.
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.
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.
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.
Autotriage sets Heeler Risk on each dependency and code finding: Urgent, Plan or Defer. It asks how critical the service is, whether an attacker can reach the flaw, and whether it is under attack. Teams get a short list to fix now.
An LLM asked what matters gives a different answer each run and cannot show its work. Autotriage applies fixed rules to what the Context Engine knows about your environment, so the same inputs always give the same level.
Six finding types, six rules. Choose one:
Three answers pick one cell: how critical the service is, whether an attacker can reach it, and whether it is under attack.
The traced path decides. A flaw on an open internet route outranks the same flaw behind auth on an internal service.
The misconfiguration is matched to the live cloud resource it builds, and ranked on what Heeler sees there.
An image is ranked by the workloads that run it: their tier, their environment, and whether they are internet accessible.
Heeler scans git and its full history, every branch and every commit. It discards fakes with an offline checksum check, then proves what is left with a safe, read-only live test. Each secret lands in an action bucket by what that test found.
Each agent file, skill and MCP config gets a 0 to 100 safety score from fixed arithmetic on what Heeler finds in it.
Flip what is true about one real CVE and watch the level move. Heeler does this on its own whenever your environment changes. No re-triage meeting.
Try it: turn off Internet accessible, or add a mitigation.
Heeler computes the fix, proves it builds in a sandbox and in your CI, and opens a merge-ready pull request. No human in the loop until review.
A backlog is live exposure, not debt. Heeler decides what to fix first, computes the fix, proves it builds, and your checks decide.
06 · Prevention
Heeler MCP and Agent Skills guide the agent while it plans and writes. The Workstation Sensor watches what it does, the CLI stops bad commits, and PR Guardrails gate the merge. Each layer catches what the one before it could not.