Bots automate repetitive tasks, raise brand awareness, and engage users early in their digital journey. But in the wrong hands, bots and automation are powerful tools that can be used to compromise user accounts, resulting in account takeover and fraud. The way to counteract automated and malicious bot attacks is through a sophisticated bot management solution—one that uses machine learning to adapt to attackers’ tactics as they evolve.
A healthcare system can’t function without portals and applications to provide services, perform diagnostics, run the Internet of Medical Things (IoMT), and transfer payments with integrity. These applications must be readily protected to keep the healthcare system safe and secure, while providing ease of use for all the stakeholders using the systems and apps they rely on to deliver care. But systems are under attack with every payor, provider, and patient as potential victims of the attack lifecycle.
Like many industries, healthcare organizations typically use multiple methods to verify users are who they say they are—and legitimate users are put through the paces to prove it. This creates friction at the login transaction, leading to frustration and possible abandonment of service. As the traffic volume of your applications rises, so does the friction to catch malicious attacks. But there are ways to provide a frictionless experience.