The monthly MedTech AI cybersecurity webinar. AI moved faster than the guidance, and both are moving faster than most product security programs. Once a month we cover what actually changed: new FDA expectations when AI is in your device, the standards heading your way, and the discovery, testing and management techniques that are now table stakes.
The sector, a manufacturer, an engineer, and the people testing the products. Every session is a live discussion between all four, not a presentation with questions bolted on the end.
More than a decade testing medical devices, with 1,000+ vulnerability reports taken through FDA review.
The sector view. What medical device security actually looks like across Health-ISAC member organizations, rather than inside any one of them.
Product security from inside a manufacturer, where the findings land and the fixes have to be scheduled against a roadmap.
The engineering seat. Where security meets the constraints of actually designing and shipping a working device.
Over 150 people registered for our first session on medical device security after AI, many of them from the largest device manufacturers in the industry, and the questions did not stop when the recording did. The follow-ups were bigger than one hour could hold, so this is now a standing monthly session.
Over 150 registrations for one hour on what AI does to vulnerability discovery. Product security, regulatory and engineering teams from some of the biggest names in medical devices, all arriving with the same question. What now.
What does FDA expect when AI is in the product. Which standards are coming. How do you test AI, and how do you manage what the testing finds. None of that fits in a single session.
A standing monthly session. Same vendor neutral format, new material every month, assembled from what actually changed since the last one.
Session one aired September 1 on what AI-driven discovery does to a medical device backlog, and what an evidenced disposition actually takes. It is recorded and yours to keep. Watch it before September 29 and you arrive with the context the monthly sessions build on.
This is a working session, not a keynote. If your security or regulatory team has to answer for AI in your product, this is where the month gets explained.
What the agency expects when AI is in your product, and what that means for a program built before any of it existed.
The AI design decisions you need to make early. Leave them until submission time and they get expensive.
Which AI decisions have to be documented, what reviewers ask for, and what a defensible AI cybersecurity package actually contains.
The standards heading for MedTech, what each will require, and how far ahead of the deadline you need to start moving.
How discovery is being done now, techniques from real engagements, what AI driven testing reaches that manual testing does not, and where it still needs a human.
Triage and disposition methods that survive the volume AI discovery produces, with evidence attached to every call.
The teams choosing where AI sits in the product and who will own whatever the testing surfaces. They want the techniques and the finding volume, not the summary.
The teams who have to describe AI in a submission and answer the reviewer's follow-up. They want to know what has to be evidenced, and when.
One registration covers the series. Come for the months that touch your roadmap, skip the ones that do not, and the recording lands either way.
Monthly, on the last Tuesday of the month at 1:00 PM ET, running about an hour including questions. The first session is Tuesday, September 29, 2026, hosted by Jason Sinchak, CEO and co-founder of ELTON Cyber. There is no December session, because the last Tuesday of December falls between Christmas and New Year. The series resumes Tuesday, January 26, 2027.
No. One registration covers every session in the series and your join link stays the same each month. Register once and come to the sessions that are relevant to what you are building.
No. The session is vendor neutral. It covers techniques, standards and regulatory expectations for AI in medical devices, not a walkthrough of the ELTON platform. If ELTON comes up it is because somebody in the room asked.
Six recurring areas: new FDA AI cybersecurity guidance, what to do early in premarket design when AI is going into your product, what has to be evidenced for a regulatory submission, new AI cyber standards heading for MedTech, AI vulnerability discovery and pentesting techniques, and AI vulnerability management methods. Each month the material is rebuilt from what actually changed.
Product security and engineering teams choosing where AI sits in the product and owning what the testing surfaces, and regulatory and quality teams who have to describe AI in a submission and answer the reviewer's follow-up. Providers and consultants are welcome too.
Yes. Registrants get the recording after each session, and past sessions move to the on demand archive on the webinars page where the recording and slides sit behind a short form.
MedDevice AI Security Weekly is the weekly read and this is the monthly session. Registering for the webinar also subscribes you to the newsletter, and you can unsubscribe from either at any time.