The Internet of Medical Things (IoMT) has revolutionized the healthcare industry, connecting medical devices to the internet and allowing for greater patient care. However, with this new technology comes new security threats. Hospitals must be aware of these risks and understand how to find, fix and secure connected medical devices to protect their patients from cyberattacks.

The categories in SIGNL4 are a powerful tool to make it clear to users at first glance what a particular alert is about. For example, colors, icons, location and predefined texts can be configured here. Categories can be created and edited manually.

There’s no doubt that generative AI and the productivity it promises have captured the world’s imagination. We’ve talked about applying AI to just about everything—from those soul-crushing tasks we never want to do again to dreams within our grasp for the first time. Goldman Sachs estimates that generative AI could add nearly $7 trillion to global gross domestic product (GDP) in the next decade.

Our industry is in the early days of an explosion in software using LLMs, as well as (separately, but relatedly) a revolution in how engineers write and run code, thanks to generative AI. Many software engineers are encountering LLMs for the very first time, while many ML engineers are being exposed directly to production systems for the very first time.