Healthcare Zero Trust Maturity Model for Clinical Resilience

Cybersecurity failures in hospitals disrupt clinical operations and can affect patient outcomes. The Healthcare Zero Trust Maturation Model (HC-ZTMM) provides a structured framework to assess and advance Zero Trust maturity across identity, data, infrastructure and experience domains. By aligning cybersecurity with clinical workflows, resilience and executive governance, it enables organisations to identify gaps, reduce risk and support continuous, secure care delivery.

Key Points

• Cybersecurity failures in hospitals directly disrupt clinical operations and care delivery.
• HC-ZTMM defines Zero Trust maturity across identity, data, infrastructure and experience.
• Zero Trust in healthcare must align with clinical workflows, not disrupt them.
• Maturity is measured by integrated trust orchestration, not tool deployment.
• HC-ZTMM enables executives to align cybersecurity with resilience and patient safety.

When a hospital experiences a cybersecurity failure, it is not merely an IT incident. It is a clinical event.

Surgical schedules stall. Imaging systems go dark. Medication administration slows. Telehealth sessions disconnect mid-consultation. Clinicians revert to paper while risks compound. In healthcare, cybersecurity failure is operational failure, and operational failure can affect patient outcomes.

To address this risk, the Alliance for Smart Healthcare Excellence[1] has formally launched the Healthcare Zero Trust Maturation Model (HC-ZTMM), a healthcare-specific maturity framework designed to measure, guide and accelerate Zero Trust transformation in clinical environments. The model was developed leveraging an advisory panel of healthcare cybersecurity practitioners and experts.

The healthcare sector has become one of the most targeted critical infrastructure industries. Ransomware attacks, supply chain compromises, credential harvesting campaigns and exploitation of internet-exposed appliances have escalated in frequency and sophistication. The average cost of a healthcare data breach now exceeds US$10 million (≈€8,66 million), the highest of any industry. Beyond financial cost, studies increasingly correlate cyber incidents with increased mortality, delays in care and degraded clinical performance.

Digital transformation, including cloud adoption, AI integration, telehealth expansion and IoMT proliferation, has dramatically expanded healthcare’s attack surface. Healthcare has moved from centralised data centres to a distributed ecosystem of SaaS platforms, public cloud environments, remote workforces and connected devices. Legacy “castle-and-moat” perimeter architectures were never designed for this environment.

Zero Trust architecture has emerged as the modern framework for securing this new reality. The National Institute of Standards and Technology (NIST), a non-regulatory federal agency within the U.S. Department of Commerce, defines Zero Trust as eliminating implicit trust based on network location and requiring continuous verification. The modern Zero Trust model is not a product but a strategic transformation, one that improves security, productivity and economic efficiency simultaneously.

But healthcare is not banking, manufacturing or retail. In a hospital, authentication delays can disrupt trauma response. Segmentation errors can isolate life-critical devices. Encryption policies can break clinical interoperability.

Zero Trust in healthcare must be engineered around clinical workflow, not imposed upon it.

Why Healthcare Needs Its Own Zero Trust Maturity Model

Zero Trust has become widely discussed but inconsistently implemented. Many organisations equate deployment of multifactor authentication or network segmentation with maturity. Others view Zero Trust as a technology refresh rather than an operating model transformation.

In reality, Zero Trust is an integrated operating model that spans identity, data governance, infrastructure, experience telemetry and executive oversight. It requires orchestration, not just deployment.

Healthcare complexity magnifies the challenge, with environments characterised by shared clinical workstations, break-glass emergency access requirements, vendor-managed biomedical equipment, legacy imaging systems, telehealth platforms operating across unsecured networks, AI systems processing protected health information, as well as mergers and acquisitions introducing heterogeneous infrastructures.

Healthcare organisations must secure digital transformation while improving clinician experience and productivity. Zero Trust must simultaneously reduce risk and eliminate latency introduced by legacy backhaul architectures.

HC-ZTMM was designed specifically to reconcile these clinical and operational realities.

Importantly, HC-ZTMM positions Zero Trust as an executive decision-support discipline, not a technical checklist. It provides CIOs, CISOs, CFOs and CEOs with a structured framework to evaluate maturity, identify imbalance and align cybersecurity investments with patient safety and operational continuity.

It does not measure how many tools have been purchased. It measures how intelligently trust is orchestrated across the enterprise.

From Perimeter Security to Adaptive Trust

Traditional architectures assumed that once inside the network, users and devices could be trusted. VPNs extended that trust boundary into homes and cloud environments, creating expansive routable networks vulnerable to lateral movement.

The anatomy of a breach typically unfolds in four stages:

1. Discovery of the attack surface.
2. Initial compromise (often phishing or exposed appliances).
3. Lateral movement across a flat network.
4. Data exfiltration or ransomware deployment.

Zero Trust eliminates lateral movement by removing implicit network-level trust and brokering access directly to applications via policy engines. It inspects traffic, verifies identity and device posture, applies adaptive risk scoring and prevents data loss.

Yet in healthcare, these controls must not degrade care delivery.

HC-ZTMM reframes Zero Trust maturity around a core principle: if security degrades care, it is not mature.

This principle shifts the conversation from compliance and containment to resilience and continuity.

The Five Postures of Healthcare Zero Trust Maturity

HC-ZTMM defines five maturity postures that describe progressive integration of Zero Trust principles within clinical environments.

Organisations frequently discover uneven maturity across domains. Strong identity controls may coexist with weak data governance. Segmentation pilots may operate without complete asset visibility. Experience monitoring may be absent entirely.

HC-ZTMM makes these imbalances visible.

The Four Domains of Healthcare Zero Trust

HC-ZTMM evaluates maturity across four interdependent domains aligned to care delivery realities.

Trust Foundation & Access Control

Identity is the cornerstone of Zero Trust. In healthcare, this includes clinicians on shared workstations, contractors and affiliates, non-human identities such as service accounts, APIs and AI agents, as well as biomedical systems.

Healthcare identity cannot be static. Clinicians move across roles, settings and urgency contexts. Vendors require persistent but limited access. Devices increasingly act as identities.

Maturity includes adaptive MFA that does not delay emergency access, break-glass governance, least-privilege enforcement, automated identity lifecycle management and continuous validation of identity and context.

This domain reframes identity as a clinical control plane. Access decisions directly affect care delivery. Trust must adapt during active EHR sessions without interrupting workflows.

Until organisations understand how mature their trust foundation truly is, Zero Trust remains a strategy in name only.

Data Trust & Intelligence Governance

Healthcare’s most valuable digital assets are data and intelligent systems.

Many organisations invest heavily in infrastructure controls while leaving data access, AI usage and governance fragmented. That gap is precisely where Zero Trust strategies begin to fail.

Maturity requires comprehensive data inventory and classification, encryption consistency, context-aware data loss prevention, governance that extends across cloud and partner ecosystems, and AI lifecycle oversight including model inventories and training data governance.

Compliance alone is insufficient. Data governance must move from static rule enforcement to continuous, context-aware control that supports legitimate clinical use.

When data trust maturity is low, organisations rely on manual approvals, blanket exceptions or disabled controls to keep workflows moving. When maturity is high, data and AI are governed with confidence, clarity and clinical awareness.

HC-ZTMM exposes where governance maturity lags digital ambition.

Secure Infrastructure & Operational Resilience

Healthcare infrastructure is heterogeneous, with legacy systems, IoMT devices, SaaS, public cloud and remote users coexisting. Network segmentation alone is not Zero Trust, and infrastructure maturity is about resilience rather than lockdown.

Maturity includes continuous asset awareness, identity-based application access, east–west traffic inspection, microsegmentation aligned to clinical workflows, secure telehealth connectivity and workload isolation in hybrid cloud.

The key question is not whether infrastructure is segmented. It is whether the environment can continue delivering care securely when something goes wrong.

Operational resilience is the real test of Zero Trust in healthcare.

Resilient Experience & Continuous Assurance

Security programmes are often judged by what they prevent. Clinicians judge them by what they disrupt.

If Zero Trust degrades clinician experience, it has already failed.

This domain examines authentication latency, EHR session performance, telehealth quality, imaging retrieval speed, shared workstation transitions and governance of risk decisions under pressure.

Experience monitoring becomes a security signal, not just an IT metric. Risk telemetry must be continuously correlated across domains.

True maturity is achieved when security, usability and performance reinforce one another.

This is where Zero Trust evolves from a technical initiative to an enterprise operating discipline.

Executive Alignment and Industry Impact

HC-ZTMM is intentionally designed as an executive-aligned framework.

Boards are asking for clearer articulation of cyber resilience. Regulators are scrutinising AI governance. CFOs are evaluating cyber insurance exposure. CEOs are accountable for operational continuity.

HC-ZTMM provides an objective maturity posture across domains, gap analysis revealing uneven development, a roadmap for integrated trust evolution, a structured vocabulary for executive conversation and a benchmarking survey enabling comparative insight.

By aligning Zero Trust with patient safety, resilience and executive governance, HC-ZTMM moves cybersecurity out of the server room and into the boardroom.

It reframes Zero Trust as a measurable operating discipline.

From Framework to Clinical Standard

The launch of the Healthcare Zero Trust Maturation Model represents more than a new assessment tool. It signals a shift in how healthcare defines cyber readiness.

The question is no longer: “Do we have Zero Trust tools?” It is: “Is our trust model mature enough to preserve care under stress?”

Healthcare organisations cannot afford implicit trust. They cannot tolerate brittle controls that fracture under clinical urgency. They cannot rely on perimeter assumptions in a cloud-native, AI-driven ecosystem.

HC-ZTMM provides a structured path forward:

• assessing current posture,
• identifying domain imbalances,
• aligning security architecture with clinical workflows,
• progressing toward adaptive, integrated trust,
• benchmarking maturity against peers,
• engaging executives in resilience-focused governance.

Because in healthcare, security is not merely about preventing breaches.

It is about ensuring that when systems are stressed — whether by ransomware, supply chain disruption, AI risk or infrastructure failure — care continues uninterrupted.

And that responsibility demands a maturity model built for the realities of medicine.

The Healthcare Zero Trust Maturation Model is that model.

Conflict of interest

None.