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.
Time competes with cost, and quality suffers from both. A consulting pentest is expert humans running tools and reasoning about what they see. The hours are expensive, so the hours are few.
The consultant has days, not months. So they test the subset of the target that, in their opinion, matters most. The scope is a judgement call made before the first packet is sent.
Customers will not pay infinite amounts of money to find all vulnerabilities. Time times rate equals cost, and coverage is whatever fits inside the number.
Look in the wrong place and the engagement still ends on schedule. Bad discovery and a clean-looking report are indistinguishable from the outside. Time is up either way.
In most consulting reports you cannot tell. There is no record of what was tested and why nothing was found there, because writing that record would spend hours the engagement does not have, and because documenting a wrong guess is embarrassing. The industry’s own shorthand for the method is a blackbox: smart pentester does things. How does that sound for compliance? Not good.
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.
ELTON is open about how AI is used, and the reason is structural rather than principled. We sell a subscription. AI lets us run more assessments for the same fixed annual fee, so every gain in capability lands on your side of the table. There is no version of this where we benefit and you do not.
Consulting firms bill a la carte, often more than $100,000 for a single point-in-time test. Many are adopting AI too. Ask whether it touched your assessment and the answer is frequently yes, but it is rarely volunteered, and the price does not move.
When the fee is set per engagement, a cheaper engagement is simply a better margin. Nothing obliges anyone to pass it on. A subscription inverts that: the only way we grow the value of the fee is to do more work under it.
So the question worth asking a vendor is not whether they use AI. Nearly everyone does now. It is whether their business model lets you feel it when the technology gets better.
Basis of claim: median cost of approximately $100,000 per consulting penetration test, verified across 3 medical device cybersecurity consulting firms.
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 on the fly and decide which ones to run.
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
No. Source code, firmware images, architecture documents, findings and the digital twin stay inside the pipeline and are never sent to any model. What goes to a model is ELTON's own engineering work: tool specifications, public protocol descriptions, ELTON's own code, and test logic. The data path and the development path never meet.
No. It is included in the subscription you already have, at no additional cost, and it is enabled customer by customer rather than switched on by default. Consulting firms bill per test, often more than $100,000 for a single point-in-time engagement, so more capability there costs you more.
Yes. Human review and tester knowledge sit in front of every result, and nothing the pipeline surfaces is passed to you unreviewed. Findings arrive classified: directly exploitable with a prescriptive code-level fix, conditionally exploitable with the condition named, or a weakness with no path today and the reasoning documented.
More than five loops run continuously, every hour of every day. Each finds a gap in ELTON's own testing coverage, writes a tool to close it, tests the tool and ships it into the toolchain. They build protocol tooling, firmware tooling, hardware interface tooling, application layer coverage and exploit validation.
Start with the explainer session. ELTON enables it customer by customer so the access, the scope and what your findings will look like are agreed first. The session for existing customers runs on Wednesday, September 16, 2026 at 11:00 AM ET, 45 minutes plus questions.