Why do third-party relationships make healthcare cybersecurity harder to govern?

Why This Matters for Security Teams

In healthcare, third-party relationships are not just procurement dependencies. They often extend trust into EHR integrations, billing platforms, imaging systems, telehealth tools, managed services, and support desks that can reach sensitive data or privileged functions. That makes governance harder because the security team must understand who is operating, what they can access, how that access is authenticated, and whether it is still justified. NIST Cybersecurity Framework 2.0 is useful here because it frames third-party risk as an ongoing governance and protection problem, not a one-time vendor approval exercise through NIST Cybersecurity Framework 2.0.

The real issue is that vendors bring their own identities into the environment. That can include human users, service accounts, API keys, certificates, remote support tools, and increasingly automated agents that act on a vendor’s behalf. Each of those identities needs a clear owner, purpose, and expiry condition. If that information is missing, access reviews become a paperwork exercise rather than an effective control. In practice, many healthcare security teams discover the weakness only after a vendor support account, API credential, or integration token has already been overused or left active long after the business need changed.

How It Works in Practice

Effective governance starts by treating every third-party connection as an identity relationship, not only a contract. Security teams need to inventory the vendor, the service being consumed, the data touched, the systems reached, and the identities used to make that connection. That includes direct human access, privileged vendor sessions, machine-to-machine authentication, and any delegated workflows tied to automation. The OWASP Non-Human Identity Top 10 is especially relevant because many healthcare exposures now come from secrets, service identities, and machine credentials that are not managed with the same rigor as employee accounts through OWASP Non-Human Identity Top 10.

• Assign an internal business owner for every vendor identity and integration.
• Require least privilege for vendor users, support staff, and service accounts.
• Time-bound access where possible and remove standing access that no longer has a current need.
• Monitor authentication events, API usage, and remote support sessions for drift or abuse.
• Separate procurement approval from technical access approval, because one does not validate the other.

Healthcare teams also need to consider whether a vendor has introduced AI-enabled tooling into support or operations. Current guidance suggests treating AI assistants, orchestration layers, and autonomous workflows as separate actors with their own permissions and logging requirements. Threat intelligence is useful for prioritising monitoring around active abuse patterns, and CISA cyber threat advisories can inform which vendor-facing techniques deserve closer detection work through CISA cyber threat advisories. These controls tend to break down when legacy healthcare systems still rely on shared vendor accounts or long-lived remote support tunnels because attribution and timely revocation become unreliable.

Common Variations and Edge Cases

Tighter vendor control often increases operational overhead, requiring organisations to balance patient-safety continuity against access reduction. That tradeoff is especially sharp in healthcare because emergency support, device maintenance, and application integration can be time sensitive. Best practice is evolving, but there is no universal standard for whether every vendor should use separate per-user access, federated identity, or a dedicated privileged access workflow in all cases. The decision usually depends on the sensitivity of the system, the vendor’s technical maturity, and how much of the access path can be logged and revoked quickly.

There are a few common edge cases. Shared clinical systems may require temporary break-glass access for vendor-assisted remediation, but that access should be narrowly scoped and heavily monitored. Cloud-hosted healthcare platforms can also create ambiguity when the vendor operates sub-processors or downstream service providers, which expands the trust chain beyond the named supplier. And where AI-driven support or automation is involved, the attack surface includes prompts, tool calls, and output handling, which introduces a separate class of identity and integrity issues aligned to the MITRE ATLAS adversarial AI threat matrix through MITRE ATLAS adversarial AI threat matrix and the broader AI-orchestration risk discussed in Anthropic — first AI-orchestrated cyber espionage campaign report. The hardest cases are environments where vendor access is routed through shared infrastructure and no single team owns the full identity lifecycle from onboarding to deprovisioning.

Related resources from NHI Mgmt Group

• Why do fourth-party relationships make third-party risk harder to manage?
• Why do VPNs make third-party access harder to govern?
• Why do third-party connections make cybercrime harder to contain?
• Why do third-party identities make MFA bypass risk harder to contain?