How can zero trust help healthcare organisations reduce cyber risk?

Why This Matters for Security Teams

zero trust matters in healthcare because most cyber risk now sits in the connections between clinical systems, vendor tooling, remote access, and machine identities rather than in a single perimeter. That is especially true where authentication is valid but context is wrong, such as a service account reaching a records system outside its normal task window. NIST SP 800-207 Zero Trust Architecture describes this shift as moving from network location to continuous, policy-driven access decisions, which aligns well with healthcare’s fragmented environment. The challenge is not just blocking entry, but reducing the blast radius when a credential, integration, or endpoint is compromised.

For healthcare teams, the practical value is in stopping broad trust from spreading across EHRs, lab systems, imaging platforms, and third-party services. NHIMG’s Ultimate Guide to NHIs — Why NHI Security Matters Now notes that 90% of IT leaders say properly managing NHIs is essential for a successful zero-trust implementation. That matters because zero trust fails when identity, privilege, and device posture are treated as separate problems. In practice, many security teams encounter lateral movement through trusted integrations only after clinical disruption or data exposure has already occurred, rather than through intentional risk reduction.

How It Works in Practice

In healthcare, zero trust works when access is evaluated at the moment it is requested, using identity, device state, workload context, and purpose rather than a blanket “inside the network” assumption. For humans, that usually means MFA, device checks, and least privilege. For systems and NHIs, it means tighter control over service accounts, API keys, certificates, and vendor integrations. The most effective programs pair Zero Trust Architecture with lifecycle governance so that access is not only constrained, but also reviewed, rotated, and revoked on schedule.

Practitioners usually start with the highest-risk pathways: remote support, patient data exchange, admin consoles, and interoperability feeds. The controls that matter most are segmentation, explicit authorization, strong workload identity, and short-lived credentials. The Ultimate Guide to NHIs — Key Challenges and Risks highlights how excess privilege and weak visibility make this harder, while CISA cyber threat advisories consistently reinforce the need for containment, rapid isolation, and reducing trust assumptions.

• Use least privilege for every account, including service accounts and vendor accounts.
• Require context-aware approval for sensitive actions, not just initial login.
• Prefer short-lived tokens and certificates over long-lived static secrets.
• Separate clinical, administrative, and third-party access paths with policy, not just VLANs.
• Continuously review which NHIs can reach patient systems and why.

Where possible, tie machine identity to workload identity patterns such as SPIFFE and SPIRE, then enforce policy at request time rather than relying on static network placement. These controls tend to break down when legacy medical devices cannot support modern identity or when vendor integrations depend on hard-coded, long-lived credentials.

Common Variations and Edge Cases

Tighter zero trust controls often increase operational overhead, requiring organisations to balance stronger containment against clinical uptime, integration complexity, and vendor support constraints. In healthcare, that tradeoff is real: a policy that is elegant on paper can become unworkable if it slows emergency access, breaks device telemetry, or disrupts imaging workflows.

Current guidance suggests treating legacy systems differently from modern cloud services, but there is no universal standard for this yet. Some environments need compensating controls such as network isolation, jump-host mediation, or very narrow allowlists while they phase in stronger identity controls. Others may need to preserve break-glass access, but only with logging, approval, and post-event review. The 52 NHI Breaches Analysis is useful here because it shows how often compromise begins with trusted identities and weak governance rather than sophisticated perimeter bypass. For broader architectural guidance, the NIST Cybersecurity Framework 2.0 helps teams map zero trust to governance, asset visibility, and response discipline.

Health systems with heavy third-party dependency should assume that some risk will remain even after strong zero trust controls are introduced. The goal is not perfect denial, but reducing implicit trust to the smallest workable scope.

Related resources from NHI Mgmt Group

• Why do non-human identities increase zero trust risk?
• Why do non-human identities complicate zero trust architecture?
• When should organisations prioritise Zero Standing Privilege for non-human identities?
• Why do NHIs complicate zero trust and least privilege efforts?