The Hidden Cyber Risks of Cloud, Vendors, & Connected Medical Devices
Healthcare organizations have made major progress in digitizing care, improving interoperability, and expanding access through cloud services and connected devices. But with that progress comes a quieter, more complex cybersecurity challenge: the biggest risks are no longer only inside the hospital network.
They now live in the cloud platforms that store and process data, the vendors that support critical workflows, and the connected medical devices that increasingly share the same digital environment as core clinical systems. In healthcare, cybersecurity is now inseparable from patient safety, operational continuity, and organizational trust.
Triple Sum Gain - Leveraging AI to Prioritize People & Technology When Mitigating Risk
AI transforms how companies build, sell, and deliver technology at an exponential pace. To accelerate innovation, connect products and services, and create experiences that truly set them apart, organizations utilize AI to speed up development, improve operations, and scale existing businesses. Simultaneously, to maintain a competitive advantage in the marketplace, companies must also iteratively reinvent themselves for what's next.
For healthcare IT professionals, moving at an expedited pace creates a whole new set of challenges, from potential privacy breaches and intellectual property loss to data sovereignty issues, unsecured code, and compliance failures.
Navigating Technology Headwinds - Current State of AI & Regulatory Compliance in Healthcare
The current state of AI and healthcare regulation is defined by rapid clinical adoption, a surge of new rules, and a shift from experimental pilots to tightly governed, “trustworthy” systems integrated into existing medical‑device law. To ensure patient safety, additional AI‑specific safeguards are needed around transparency, lifecycle management, data governance and data security.