The ELTON pipeline just got significantly bigger, and it is now available to every subscription customer at no additional cost. We enable it customer by customer, so it is not switched on until you say so. Your data never becomes anyone’s prompt, and no finding reaches you until a person has reviewed it.
We enable the pipeline customer by customer. The explainer session walks through how it works, where your data goes, and how to pick your first products.
Vulnerabilities in a medical device live in software, hardware, firmware, applications, interfaces, and the connections to everything else in the system. We have been testing those products since 2013. That experience is now a toolchain that runs continuously against your releases.
Included in the subscription you already have. Consulting firms bill per test, so more capability costs you more. We do not, so the gain goes to you: more work on your behalf, same fixed fee.
Human review and tester knowledge sit in front of every result. No issue the pipeline surfaces is ever passed directly to you.
A medical device harness and a real classification model, so what you receive is a short list that matters, with coverage and traceability a reviewer will accept.
You may have heard vendors describe AI testing. Pointing a model at a product and asking it to find vulnerabilities is not testing. It is a prompt, and anyone can write one. Testing is about tools. We use AI to build the tools, decide which ones to run, combine what they return, and reason over the results.
It has no device context, verifies nothing, and returns something different every time you ask. The output is a wall of maybe-issues with no evidence a reviewer can follow, and getting there meant handing over your source code.
Tools are deterministic. They run the same way twice, against the real device, and produce evidence. The engineering is the hard part, and it is where thousands of hours have gone.
This is the part that is hard to copy. More than five agentic loops run continuously, every hour of every day, finding gaps in our own testing coverage and writing new tools to close them. That is the edge, and because you are on a subscription, it is your edge too.
Building a debugger for one stubborn process, or a MITM for one proprietary protocol, used to consume an entire assessment budget. Now it takes minutes, the cost is one time, and the tool is reused on every device after.
A prompt starts from zero every time you open it. The toolchain does not. Every loop, every day, it gets deeper on medical devices specifically, and that gap widens rather than closes.
This is the part worth being precise about. Your source code, firmware, documents and findings stay inside the pipeline. What goes to a model is our own engineering work: what a tool needs to do, and how a documented protocol behaves.
More tools surface more issues. The pipeline then decides what each one actually is: directly exploitable, conditionally exploitable, or a weakness with no path today. Doing that in days is the point.
Privileged runtime, service processes, service tools, protocol documentation, code. The pipeline is not bound by time, so the more it can reach, the more it surfaces. Knowing more is only a burden if everything gets called a vulnerability.
It becomes debt only if you call everything a vulnerability. Conditions let us separate what is exploitable from what is not, so you carry the risk you actually have and can defend the rest.
When a directly exploitable vulnerability later lands on that product, we already know whether something we classified as a weakness just became reachable.
That same depth is what lets us prescribe the change rather than throw another issue over the fence. Fixing things is the point of testing.
Researchers, customers and adversaries now have discovery techniques that used to require deep expertise. Staying ahead of what they will find is not optional, and the pipeline is how we get there first.
Per-test vendors have every reason to keep the test small. We are on a subscription, so capability turns directly into more testing on your behalf, continuously, at no additional cost.
The traceability and coverage this produces would cost hundreds of thousands to assemble by hand. You get it as a byproduct of the work rather than a separate project.
AI writes the tools.
The pipeline does the testing.
A prompt is something anyone can write in an afternoon. A pipeline is thirteen years of knowing where medical devices break, turned into software that runs every day.
We enable the expanded pipeline customer by customer so we can agree the access, scope and what your findings will look like afterwards. If you are a subscription customer and want it, start with the explainer session in September.
Inside the ELTON Pipeline · Wednesday, September 16, 2026 · 11:00 AM ET · existing customers only