Prolaio operates a clinical intelligence platform centered on cardiovascular health, aggregating continuous patient data to fuel AI-driven analytics for care teams and researchers. The threat surface here is medical: 4 million-plus hours of on-body patient data flowing through systems that feed FDA-cleared algorithms - seven of them, to be specific. The company holds 20-plus issued patents and deploys across 22-plus countries, which means data governance, regulatory compliance, and cross-border integrity aren't abstract concerns but daily operational requirements.
The technical stack runs through machine learning (30-plus years of institutional experience in the domain), AI-based tooling, and data analytics pipelines designed to integrate clinical insights at scale. The Clinical Intelligence Platform ties together patients, clinicians, and research workflows in a system where the integrity of the data model directly impacts patient outcomes and therapeutic discovery. Seven FDA-cleared algorithms sit in production, each one a potential attack surface and a regulatory obligation.
For security and data professionals, the operational reality is clear: you're protecting personally identifiable health information across jurisdictions, defending ML pipelines that inform clinical decisions, and maintaining platform integrity for users spanning more than two dozen countries. The stakes are patient safety and regulatory trust - not just uptime.
