A Zero Trust foundation for care at scale
Rush supports care and education across the Chicago area—with three hospitals, multiple outpatient surgery centers and clinics, and an academic and research mission that expands the organization’s reach far beyond traditional healthcare delivery. With at least 65 locations and a footprint that continues to grow as new sites come online, Rush’s network team must sustain consistent security and performance while keeping clinical and academic operations running without interruption.
That scale is matched by the number of people who depend on the network every day. Rush supports more than 25,000 users, including over 2,800 students, approximately 13,000 employees and staff, and thousands of additional collaborators, support personnel, and temporary workers. In recent months, Rush has also accelerated telehealth—delivering virtual care through secure video consultations and remote services that extend their reach nationally—raising the stakes for resilient, identity-aware security controls that can continuously adapt.
For the Director of Network Engineering and Unified Communications, Uzair Khan, the objective was straightforward: reduce risk and minimize attack vectors without slowing the business. “Our challenges aren’t unique to healthcare—we’re all trying to minimize risk and reduce our attack surface,” he explains. “But for us, it’s also about creating a secure environment for everyone we serve, from patients and caregivers to students.” He adds, “Security isn’t just about protecting data—it’s about protecting patient trust and ensuring continuity of care.”
That need converged with a broader strategy already in motion. Rush had invested in macro network segmentation and was actively exploring deeper, microsegmentation-style controls. “We weren’t looking for a point solution,” Uzair says. “We wanted something strategic and integrated—something built for where we want to be in three to five years.” With Rush already operating as a Cisco shop across their campus, wireless, and data center portfolio, the team prioritized a unified approach that could connect identity, segmentation, and workload visibility into one cohesive model.