AI & Cybersecurity in MedTech: Transforming the Future of Secure Medical Devices
- Date
- 2025-05-21
- Location
- Palo Alto, CA, USA
- Host
- Murray - Open Future Forum and Friends
About this event
AI is changing how medical devices are built, monitored, and improved, but every new layer of intelligence creates new security questions. This event brings those two realities together: how MedTech teams can move faster with AI while keeping devices, data, and patients protected. About the Event This in-person gathering in Palo Alto is focused on one of the most important intersections in modern healthcare technology: AI, cybersecurity, and secure medical device innovation. If you work anywhere near connected devices, autonomy, digital health infrastructure, or product security, this is a chance to get into the real issues shaping the next generation of MedTech. The conversation is designed for people who want more than broad headlines about AI. Expect a practical, grounded look at what happens when intelligent systems are deployed in environments where reliability, trust, compliance, and safety are not optional. Medical devices operate in high-stakes conditions, and the standards for security and performance are different for good reason. This event also serves a community purpose. It creates space for builders, operators, security professionals, and healthcare technology leaders to meet in person, compare perspectives, and talk through the tradeoffs that come with innovation in regulated and safety-critical products. Whether you are exploring AI-enabled features, securing connected device fleets, or thinking about long-term autonomy in healthcare systems, the goal is to help you connect strategy with implementation. What to Expect You can expect a focused evening built around discussion, insight-sharing, and community connection. Rather than treating AI and cybersecurity as separate topics, the event centers on how they influence each other across the medical device lifecycle, from product design and software architecture to deployment, monitoring, and risk management. Topics likely to be especially relevant include: How AI is being integrated into medical device workflows and functionality Security considerations for connected and software-driven devices The risks introduced by autonomy, intelligent decision-making, and data dependencies How MedTech teams can think about trust, resilience, and system safety together What secure product development looks like in a fast-moving technical environment Because this is an in-person event, there is also real value in the conversations around the formal program. You should come ready to ask detailed questions, compare notes with peers, and hear how others are approaching similar technical and operational challenges. Expect a room that brings together people from adjacent disciplines. That mix matters. Security leaders often see risks that product teams underestimate; AI practitioners often see opportunities that traditional device roadmaps miss; founders and operators are often balancing both at once. Why Attend If you are working in MedTech today, the overlap between AI and cybersecurity is no longer a niche concern. It affects product decisions, development speed, regulatory readiness, clinical trust, and long-term adoption. Attending helps you understand not just what is possible, but what is responsible and viable in practice. This event is especially valuable because it frames security as an enabler of innovation, not simply a constraint. In medical devices, strong security practices are part of what makes advanced functionality usable at scale. The more software-defined and connected a device becomes, the more important that foundation is. You should attend if you want to sharpen your thinking on questions like: Where does AI create meaningful value in device design or operation? What new attack surfaces appear when devices become more connected or autonomous? How should teams think about secure architecture early, before problems become expensive? What does trustworthy deployment look like when patient outcomes may be affected? You will leave with a clearer sense of the challenges ahead, the language to discuss them across teams, and stronger context for making technical and strategic decisions in a rapidly evolving space. Practical Details This is an in-person event in Palo Alto, USA, bringing the discussion into one of the most active regions for AI, healthcare technology, and product innovation. The format is well suited for attendees who want direct interaction, stronger networking, and more nuanced conversations than virtual sessions usually allow. The event takes place on Tuesday, May 20 at 5:30 PM PDT. An evening start makes it accessible for professionals coming from work while still creating enough room for substantial discussion and connection. If you plan to attend, it is worth arriving ready to engage with both the technical and strategic sides of the topic. This is not only for deep specialists. It is also for people who need to make decisions across functions and want a better understanding of where AI capability, cyber risk, and MedTech product reality meet. Come if you want serious conversation, relevant peers, and a more informed view of how secure medical devices will be shaped in the years ahead.
Who should attend
This is for people who are actively building, securing, evaluating, or investing in the future of medical technology. - **You work on medical devices or digital health products** and want a better understanding of how AI capabilities intersect with safety, reliability, and secure deployment. - **You lead or contribute to cybersecurity, product security, or risk management** and need to think through emerging threats in connected, software-driven, or semi-autonomous healthcare systems. - **You are an AI/ML engineer, technical founder, or product builder** exploring how intelligent features can be introduced responsibly in regulated or patient-facing environments. - **You sit in product, engineering, or technical strategy roles** and need sharper cross-functional context on tradeoffs between innovation speed, system trust, and operational resilience. - **You are part of the broader MedTech, autonomy, or healthcare tech community** and want to meet peers working on similar questions in a serious, practical setting. - **You are curious but not purely specialized** and want a grounded entry point into one of the most consequential conversations in modern MedTech.