In the past few years, hospitals and healthcare companies have been the targets of hackers.
Malware such as wannacry have been popular attack vectors for these companies, since they tend to adopt to new technologies at a slow pace.
There is news that healthcare companies are now using artificial intelligence in medicine and health insurance systems to guard against hackers and malware attacks.
Aetna is one early adopter of machine learning. The health insurance company replaced passwords with a behavior-based security system and some biometric protections in its consumer-facing apps. It put machine learning at the forefront by developing a risk engine that combines multiple pieces of data to authenticate users. This risk engine collects personal information, ranging from the operating system and apps you use to how you text or move within the application. It creates an individual risk score, which can change. For example, if someone steals your smartphone, hackers won’t be able to log into Aetna’s app because the risk engine knows they’re suspiciously holding the phone differently than you do. It will then demand additional authentication information, like a PIN or fingerprint, which the hacker won’t have.https://theweek.com/articles/760034/how-healthcare-companies-are-using-ai-beat-hackers
This incorporation of biometrics and user behavior are indicators that techniques will be used that the hackers will not easily be able to compromise.
If you notice a medical or health care system that logs you in without a password, you may be experiencing artificial intelligence in medicine.