Identity access in French healthcare is moving beyond passwords

At a glance

What this is: This is an analysis of why French healthcare organisations are moving from password-based access toward IAM, with the central finding that passwords no longer meet security, compliance, or workflow needs.

Why it matters: It matters because IAM decisions in healthcare affect patient data protection, clinician productivity, audit readiness, and the governance model for both human and machine identities.

By the numbers:

• In health environments, manually entering usernames and passwords several times can cost up to 45 minutes per day per clinical team.
• Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap.

👉 Read Imprivata's analysis of IAM adoption in French healthcare

Context

French healthcare is under pressure to modernise identity and access control as electronic records, national digital services, and new regulatory demands collide. In that environment, password-only access is no longer a sufficient control for protecting patient data or supporting clinical operations.

The core governance problem is not simply authentication fatigue. It is that healthcare programmes built around shared, reused, or phishable passwords cannot reliably prove who accessed what, when they accessed it, or whether the access was appropriately constrained for the task at hand.

Key questions

Q: How should healthcare organisations replace password-only access without slowing clinical work?

A: They should replace password-only access with centrally governed IAM that supports fast authentication, role-based authorisation, and session-aware controls. The key is to make secure access fit the clinical workflow, not force staff back to shared passwords or repeated logins. Good design reduces friction while preserving auditability and least privilege.

Q: Why do passwords create disproportionate risk in healthcare environments?

A: Passwords create disproportionate risk because they are easy to reuse, share, forget, and steal, while healthcare systems often contain highly sensitive data and time-critical workflows. One compromised password can expose patient records or allow unauthorised access across multiple systems, making static secrets a weak basis for trust.

Q: How do IAM controls improve both security and compliance in healthcare?

A: IAM improves both by centralising identity decisions, enforcing role and policy-based access, and generating audit trails that show who accessed what and when. That helps security teams reduce misuse while giving compliance teams evidence for privacy, access review, and regulatory requirements.

Q: What should organisations measure to know if healthcare IAM is working?

A: They should measure login friction, password reset volume, access anomalies, and the frequency of unsafe workarounds such as shared credentials. If clinicians are still bypassing the control to do their jobs, the IAM model is not aligned with the operational reality of care delivery.

Technical breakdown

Why password-based access breaks down in clinical workflows

Passwords fail in healthcare because they were designed for low-friction human recall, not high-assurance clinical access under time pressure. They are easy to reuse, share, forget, or steal through phishing, which makes them a weak control for environments where one compromised credential can expose sensitive patient records. In practice, the problem is amplified by shift work, shared stations, and rapid handoffs, where convenience pressure encourages unsafe workarounds. IAM changes the control model by shifting authentication from memory-based secrets to centrally governed identity proofing and policy-based access decisions.

Practical implication: remove password dependence from high-volume clinical workflows and replace it with stronger, centrally governed authentication paths.

How IAM centralises identity, authorisation, and audit trails

IAM is not just a login layer. It is the control plane that binds identity, authentication, authorisation, and audit into one governable process. In healthcare, that means access can be tied to role, context, device state, and session requirements rather than repeated manual credential entry. Well-run IAM also creates audit trails that support both security monitoring and regulatory evidence. That matters because the question is not only whether access was granted, but whether the access was appropriate for the clinical task and traceable after the fact.

Practical implication: design IAM so access decisions are policy-driven, logged, and reviewable across the full clinical session.

Why passwordless and contextual controls matter for healthcare security

Passwordless authentication reduces the attack surface created by static secrets, while contextual controls help ensure that access is appropriate to the location, device, and working pattern. In a healthcare setting, that is important because clinicians need fast access without inheriting the risk of shared credentials or repeated password entry. Biometric or token-backed sign-in can improve assurance, but the real value comes when those methods are embedded in a governed IAM flow with least privilege, session control, and monitoring. The technical goal is to make secure access the easiest path, not an exception path.

Practical implication: pair passwordless methods with contextual policy and session controls, rather than treating authentication as a standalone upgrade.

Threat narrative

Attacker objective: The objective is to reach protected clinical data or workflows with minimal resistance and to do so through credentials that are easy to obtain and hard to distinguish from legitimate use.

1. Entry begins when weak, reused, or phished passwords give an attacker or unauthorised insider a usable credential for a healthcare system.
2. Escalation follows when the same credential works across multiple platforms, allowing broader access than the original account should have had.
3. Impact occurs through unauthorised record access, data disclosure, operational disruption, and loss of trust in patient-facing systems.

Breaches seen in the wild

• Cisco DevHub NHI breach — IntelBroker exploited exposed Cisco credentials, API tokens and keys in DevHub.
• Azure Key Vault privilege escalation exposure — Azure Key Vault Contributor role misconfiguration enabled privilege escalation.

Read our 52 NHI Breaches Analysis report for a comprehensive view of breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Passwords are the wrong trust primitive for modern healthcare identity. They were built for human memorisation, not for proving task-specific access in a regulated clinical environment. Once credentials can be shared, guessed, reused, or phished, the control no longer tells you who is really acting. The implication is that healthcare IAM must stop treating password strength as the centre of trust and start treating identity governance as the centre of control.

Healthcare IAM is a governance system, not just an access tool. Its value comes from binding authentication to role, context, and auditability so that access decisions can be defended after the fact. That is especially relevant where NIS2, GDPR, and national digital health programmes increase the need for traceable access. Practitioners should treat IAM as the evidence layer for who accessed patient data, under what conditions, and for what purpose.

Clinical friction is a security signal, not just an usability issue. When staff repeatedly re-enter credentials, they create predictable workarounds such as sharing logins or choosing weaker passwords. Those workarounds are governance failures because they push risk into the workflow itself. The implication is that security teams should measure how identity controls affect care delivery, not just whether they block access.

France’s healthcare digitisation is accelerating the identity lifecycle problem. As national services, electronic records, and AI-supported workflows expand, the organisation must govern more identities, more sessions, and more access paths. That widens the scope of audit, recertification, and privilege control across both human and machine access. Practitioners should expect identity governance to become a core operational discipline, not an IT back office function.

From our research:

• The average estimated time to remediate a leaked secret is 27 days, despite 75% of organisations expressing strong confidence in their secrets management capabilities, according to The State of Secrets in AppSec.
• Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap, according to The State of Secrets in AppSec.
• For the broader access-risk context, Top 10 NHI Issues shows why governance has to cover both human and machine identity pathways.

What this signals

Passwordless access is becoming a healthcare governance requirement, not a convenience feature. As clinical environments digitise, identity controls have to reduce friction without expanding the attack surface. Teams that keep passwords at the centre of access will keep inheriting shared credentials, reset burden, and weak assurance, which is why identity design has to be treated as a care-delivery issue as much as a security issue.

Shared login behaviour is the signal that the control model is misaligned. When clinicians work around identity tools, the problem is usually not user discipline but programme design. Security leaders should use password reset rates, access exceptions, and session handoff behaviour to decide whether the IAM rollout is actually improving governance or merely shifting the friction elsewhere.

For practitioners

• Eliminate shared password workflows in clinical areas Replace shared or manually repeated credentials with authenticated session models that keep clinicians moving without reusing secrets across stations or shifts.
• Map access to clinical role and context Define who can access which records, from which device, and in which care setting, then enforce those rules through central IAM policy rather than local exceptions.
• Build audit trails for every sensitive access path Capture who authenticated, what they reached, and whether the session matched policy so security and compliance teams can reconstruct access decisions after the fact.
• Measure clinician friction as a security metric Track login delays, password resets, and credential-sharing workarounds as indicators that the identity model is creating unsafe behaviour in the care workflow.

Key takeaways

• Healthcare password dependence creates both security exposure and workflow friction, so the identity model itself is the problem.
• IAM improves control only when it centralises authentication, authorisation, and audit across the clinical session.
• Practitioners should measure clinician workarounds as evidence that access governance is failing in practice.

Key terms

• Identity And Access Management: Identity and Access Management is the discipline of controlling who can access what, under which conditions, and with what level of assurance. In healthcare, it must balance security with clinical speed, using central policy, authentication, and audit to prevent unsafe access workarounds.
• Passwordless Authentication: Passwordless authentication verifies identity without relying on a memorised secret as the primary factor. It typically uses biometrics, tokens, or device-bound proofing, reducing phishing and reuse risk while improving usability when embedded in a governed IAM flow.
• Contextual Access Control: Contextual access control grants or denies access based on situational signals such as device, location, role, and session state. It is more precise than static access because it can adapt to the clinical task and reduce the likelihood of overbroad access.
• Audit Trail: An audit trail is a time-ordered record of authentication and access events that shows who did what and when. In regulated healthcare environments, it supports incident investigation, compliance evidence, and accountability for access to sensitive patient information.

Deepen your knowledge

NHI governance, agentic AI identity, and machine identity lifecycle are core topics in our NHI Foundation Level course, the industry's only accredited NHI security programme. If you are responsible for identity security strategy or NHI governance in your organisation, it is worth exploring.

This post draws on content published by Imprivata: a French healthcare IAM and passwordless access analysis. Read the original.