Industry Perspectives

Peers improve healthcare security by assigning clear owners, reviewing evidence on a set cadence, and remediating gaps quickly.

CIOs must model EHR vendor failures - outage, ransomware, and interface loss - to set workflow RTO/RPO and enforce vendor accountability.

A five-minute triage plus AI-assisted drafting surfaces high-risk healthcare vendors before annual reviews miss them.

Most healthcare ransomware costs come from downtime, recovery, legal work, and insurance fallout—not just the ransom.

Map controls to artifacts, owners, cadences, and retention to keep HIPAA and SOC 2 evidence audit-ready year-round.

A three-gate pre-PHI framework to vet AI vendors: validation, PHI data flows and BAA, plus ongoing clinical and security monitoring.

Healthcare needs sector-native GRC that maps HIPAA, clinical workflows, devices, and vendor risk for day-one visibility.

Treat vendor networks as infrastructure: unify monitoring, SBOMs, and incident signals to reduce PHI risk and speed response.

Create a live AI asset register in 90 days: assign owners, find shadow and embedded AI, risk-tier tools, and enforce governance.

Shared CIO–CISO intake, approvals, and continuous monitoring prevent split ownership from exposing PHI or delaying patient care.

Activate, Operate, Lead: unify vendor intake, daily workflows, and board reporting to make healthcare cyber risk repeatable and auditable.

Move vendor, cyber, device, and AI risk from annual reviews to continuous monitoring tied to patient-care impact.

Frames cybersecurity as an operational issue for COOs, focusing on downtime limits, unit playbooks, vendor mapping, and revenue continuity.

Treat SOC 2 as a starting point—verify scope, production controls, incident readiness, and subcontractors to protect PHI.

Map assets, assign owners, manage vendor risk, and keep dated evidence to align health systems with the 2800 interoperability standard.

Siloed vendor reviews left healthcare exposed; a network risk model maps concentration and fourth-party risks to protect care and revenue.

Treat HSCC transparency as a repeatable governance workflow to vet third‑party AI with model docs, AIBOMs, contracts, and monitoring.

Shows how manual vendor assessments add labor, delay, and exposure costs—and how automation delivers clear ROI.

Move cyber risk from tech reports to CEO-led decisions by framing threats as downtime, cost, patient safety, and clear executive asks.

Phase 0 decisions—use case, data, and ownership—determine whether healthcare AI is safe before vendor demos.

Why general AI security fails hospitals and how healthcare-specific AI defense protects patients, PHI, and devices.

How vendor weak links enable healthcare ransomware and how early, evidence-based vendor checks stop attacks before patient care is affected.

Healthcare boards must treat cyber as enterprise risk: set appetite, require plain reporting, test recovery, and oversee vendors.

Pushback signals workflow mismatch: healthcare resilience teams reject tools that add manual work, lack integrations, or use opaque scoring.