Presenter: Carolyn Troiano
This seminar will focus on cybersecurity of medical devices, a key concern for those who develop, manufacture, test, and distribute these products. Protecting medical devices from hacking where someone can alter the actual code embedded in the device could result in injury or death to a patient or consumer. A serious threat, it must be dealt with at all levels to make sure the end product being used by a patient or consumer is perfectly safe and delivers the effective treatment required.
This session will provide some insight into current trends in cybersecurity threats to medical devices and how to follow industry best practices to prevent and/or mitigate these threats. Cybersecurity is a serious concern for medical device safety and effectiveness. Without protection, software running on a medical device could cause severe injury or death to a patient. There are many forms of cybersecurity and many remedies for thwarting attempts to penetrate medical device software. Most of these are based in physical and logical security practices that are becoming best industry practices. This seminar will detail some of the threats and ways to mitigate them to protect consumers from harm.
Why You Should Attend:
Providing safe and effective medical devices is in the best interests of all those involved in the development, manufacturing, testing, and distribution of these products. One of the largest current threats to these devices working safely and effectively is cyber attacks that can wreak havoc on code and device functionality. Preventing these attacks by identifying sources of threats and rooting them out before they can take effect is of the utmost concern.
In this seminar, you will learn just how cyber attacks threaten medical devices and how the industry is currently responding to them. We will discuss the many ways of preventing and mitigating the cybersecurity risk, and about the industry’s best practices that can help your company do the same.
Areas Covered in the Session :
Who Should Attend: