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Authentication, Authorisation & Trust

How should security teams secure telehealth access without making care harder to use?

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By NHI Mgmt Group Editorial Team Updated July 6, 2026 Domain: Authentication, Authorisation & Trust

Use phishing-resistant MFA or passwordless authentication for high-risk access paths, then layer adaptive step-up checks for unusual device, location, or behaviour changes. The goal is to reduce password dependence while preserving clear policy triggers for re-authentication, session termination, and auditability across patient, provider, and vendor access.

Why This Matters for Security Teams

Telehealth access sits at the intersection of patient trust, clinical urgency, and regulated data handling. If authentication is too rigid, patients delay care and clinicians work around controls; if it is too loose, attackers can exploit exposed portals, stolen session tokens, and weak vendor access to reach PHI. The right design reduces friction for routine use while reserving stronger checks for genuine risk.

That balance is especially important because telehealth often blends patients, providers, support staff, and third-party platforms in the same access flow. NHI Management Group’s Ultimate Guide to NHIs notes that NHIs outnumber human identities by 25x to 50x in modern enterprises, which means the service accounts, integrations, and backend tokens supporting a telehealth stack can become a larger attack surface than the front door itself. OWASP’s Non-Human Identity Top 10 is a useful reminder that credential hygiene, privilege scope, and visibility problems are rarely isolated.

In practice, many security teams only discover how fragile telehealth access is after a clinician workflow is disrupted or a third-party integration has already been abused.

How It Works in Practice

The practical model is layered and context-aware. Start with phishing-resistant MFA or passwordless authentication for clinicians, administrators, and other high-risk roles. Then apply adaptive step-up controls when the session risk changes, such as a new device, unusual geography, impossible travel, repeated failed attempts, or a sudden shift in access pattern. The point is not to challenge every login, but to challenge the sessions that look different from normal care delivery.

For implementation, tie the policy to clear triggers and short-lived sessions. Current guidance suggests using risk signals to decide when to re-authenticate, when to terminate a session, and when to require out-of-band approval for sensitive actions such as prescription changes, record export, or billing updates. Where possible, align this with the Zero Trust approach described in NIST SP 800-207 so that access is continuously evaluated rather than trusted once at login. For patient portals, the experience should stay simple unless the action itself is high risk.

  • Use passwordless or phishing-resistant MFA for providers and staff who can reach PHI.
  • Make step-up checks conditional on device, network, session age, and transaction sensitivity.
  • Keep access tokens short-lived and revoke them when the session ends or risk changes.
  • Log authentication decisions, policy triggers, and session termination events for auditability.

This works best when identity, device posture, and application telemetry are all visible to the same policy engine, as described in NHI Management Group’s Ultimate Guide to NHIs — Key Challenges and Risks. These controls tend to break down when a telehealth environment relies on legacy SSO, shared admin accounts, or externally embedded portals that cannot surface reliable risk signals.

Common Variations and Edge Cases

Tighter authentication often increases friction, so organisations have to balance usability against patient safety and operational speed. That tradeoff is most visible in urgent care, low-bandwidth settings, and bilingual or accessibility-sensitive workflows, where repeated prompts can create abandonment or delayed treatment. Best practice is evolving, and there is no universal standard for exactly how much step-up is enough across every telehealth scenario.

One common variation is separating patient, provider, and vendor journeys. Patients may need a simpler flow with fewer interruptions, while clinicians and support staff should face stronger controls because they can reach records, prescriptions, and scheduling systems. Another edge case is integration-heavy telehealth, where video platforms, e-prescribing services, and identity providers depend on backend secrets and service accounts. Those non-human paths need their own lifecycle controls, not just stronger human MFA. NHI Management Group’s research shows why this matters: secrets exposure and poor rotation remain common failure points, so authentication hardening alone is not enough.

For risk-based design, the question is not whether to challenge users, but when to challenge them without breaking care delivery. The CISA Zero Trust Maturity Model is helpful for staging this work, because it allows teams to improve identity, device, and transaction controls incrementally instead of forcing a disruptive cutover. The hardest cases are embedded telehealth flows inside third-party patient apps, where the organisation may not fully control the session, the device posture, or the identity proofing path.

Standards & Framework Alignment

This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.

OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST AI RMF set the governance and control requirements practitioners need to meet.

FrameworkControl / ReferenceRelevance
OWASP Non-Human Identity Top 10NHI-03Short-lived, rotated credentials reduce telehealth token exposure and reuse.
OWASP Agentic AI Top 10Adaptive, runtime access decisions align with dynamic authentication risk handling.
NIST AI RMFRisk-based governance supports balancing user experience with safety in telehealth.

Define telehealth identity risks, map controls to them, and monitor whether the controls create unsafe friction.

NHIMG Editorial Note
Reviewed and updated by the NHIMG editorial team on July 6, 2026.
NHI Mgmt Group — the #1 independent authority on Non-Human Identity, IAM, and Agentic AI security. nhimg.org