A session for existing ELTON customers. We walk through what the pipeline actually is, how AI is used to write testing tools rather than read your product data, what changes in your findings when it is switched on, and how to enable it for your products.
The expanded pipeline is not switched on across the board. We enable it customer by customer, product by product, so we can set expectations about access, scope and what your findings will look like afterwards. This session is where that starts. Attend, ask questions, and tell us which products you want covered first.
It is included in the subscription you already have. Nothing to buy, no change order, no new statement of work. The only thing we need from you is a conversation about which products go first.
Every device is different in what access it allows and what interfaces it exposes. We turn the pipeline on per product so the coverage is real rather than nominal.
This is a technical explainer, not a product pitch. If your security or regulatory team has questions about how AI is used on your product, this is the session to send them to.
What the pipeline actually is: a toolchain built over thirteen years of medical device testing, not a model asked to go find vulnerabilities.
The short answer is nowhere. We show the boundary: what stays inside ELTON, and what we send to a model, which is our own engineering work.
How continuous development writes new testing tools around the clock, and why that capability compounds instead of resetting every engagement.
More issues surface, and they arrive sorted: directly exploitable, conditionally exploitable, or a weakness with no path today.
Nothing the pipeline surfaces reaches you unreviewed. We walk through who reviews what, and what that means for the quality of your record.
Where the added coverage and traceability show up in a submission, and how to talk about your use of AI with a reviewer.
The teams who receive the findings and own the fixes. They will want the detail on classification, access, and what shows up in the queue.
The teams who have to describe your testing to a reviewer, and who will get the question about how AI was used on the product.
A customer-only walkthrough of the pipeline, how it is built, and how to switch it on for your products.