TIPPS for Data and AI-Enabled Healthcare

Securing Connected Medicine with Trust and Safety

Connected healthcare is advancing quickly as AI, analytics, and interoperable devices expand precision medicine, remote monitoring, and data-driven clinical decision making. That same connectivity increases cyber risk because more data sources, devices, and access points create more opportunities for compromise that can translate into real-world patient harm.

At New York Technology Innovation, Florence Hudson, Executive Director of the Northeast Big Data Innovation Hub at Columbia University, frames TIPPS as the leadership discipline for securing AI-enabled healthcare through Trust, Identity, Privacy, Protection, Safety, and Security.

Hudson connects TIPPS to a defense-in-depth approach across hardware, firmware, software, and services that protects devices and data while enabling interoperability. The session also extends the discussion to emerging high-value assets such as virtual human twins, where compromised inputs, models, or research can drive incorrect recommendations that affect real patients.