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How do continuous authentication and passkeys fit together in IAM programmes?

Passkeys solve the authentication step, but they do not complete the security model. Teams still need session controls, transaction validation, and real-time risk assessment after login. The practical test is whether access remains trustworthy after authentication, not just during it.

Why This Matters for Security Teams

Passkeys reduce phishing risk at the point of login, but IAM programmes fail when they stop at authentication and ignore what happens to the session afterwards. continuous authentication is the bridge between identity proofing and ongoing trust: it checks device posture, user behaviour, transaction context, and risk signals while access is active. That matters because compromise can occur after a clean sign-in, especially when privileged sessions or long-lived tokens are left untouched. Current guidance from NIST Cybersecurity Framework 2.0 still points teams toward continuous monitoring and adaptive risk decisions, not one-time approval.

NHI Management Group research shows why this mindset matters beyond human login flows: 91.6% of secrets remain valid five days after notification of compromise, which highlights how trust often outlives the original authentication event. The same pattern appears when passkeys are treated as a finish line rather than an entry control. In practice, many security teams encounter session abuse only after a valid login has already been converted into unauthorised access.

How It Works in Practice

Passkeys and continuous authentication should be designed as complementary layers. Passkeys give strong initial authentication through phishing-resistant cryptographic proof. Continuous authentication then keeps evaluating whether the session is still trustworthy, using device integrity, IP and geo-anomaly checks, re-authentication for sensitive actions, and transaction-level validation for payments, exports, admin changes, or secret retrieval. This is consistent with the direction set by NIST Cybersecurity Framework 2.0, which treats identity as an ongoing control plane rather than a single checkpoint.

For IAM programmes, the practical model is:

  • Use passkeys to reduce credential phishing and replay at login.
  • Bind the session to device signals, not just the browser cookie.
  • Step up checks for risky actions instead of relying on one static MFA event.
  • Apply just-in-time privilege for admin tasks so a valid session does not imply standing access.
  • Revoke or reduce trust when behaviour, location, or workload context changes.

This becomes even more important for non-human identities. NHI Management Group research notes that 97% of NHIs carry excessive privileges, and that reality often turns a single authenticated token into broad operational reach. Pairing continuous authentication concepts with Azure Key Vault privilege escalation exposure is a reminder that access governance must cover secrets, vault permissions, and downstream actions, not only the original sign-in. These controls tend to break down in legacy SSO and thick-client environments where sessions are long-lived, transaction context is thin, and the application cannot reliably re-evaluate trust mid-session.

Common Variations and Edge Cases

Tighter continuous checks often increase friction, so teams need to balance stronger assurance against user interruption and operational latency. That tradeoff is real, and best practice is still evolving on where to place step-up prompts versus silent risk scoring. For low-risk internal apps, continuous authentication may be mostly passive. For high-risk workflows, it should be active and explicit, especially when access includes secrets, finance approvals, or production changes.

There are also important edge cases. Shared devices, remote support tooling, and offline-first applications can make continuous signals less reliable. In those cases, policy should fall back to shorter session lifetimes, stronger device binding, and clearer transaction validation. For NHI-heavy programmes, the same principle applies to service accounts and API keys: authentication alone is not enough if the secret can still be reused elsewhere. NHI Management Group research on Azure Key Vault privilege escalation exposure shows how privilege paths can widen even after the initial identity event has passed. The operational takeaway is simple: passkeys authenticate the person, but continuous authentication preserves trust for the session, and both are needed when access can change faster than a login screen can detect.

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 address the attack and risk surface, while NIST CSF 2.0 and NIST SP 800-63 set the governance and control requirements practitioners need to meet.

Framework Control / Reference Relevance
NIST CSF 2.0 PR.AC-4 Ongoing access decisions align with continuous trust, not one-time login.
NIST SP 800-63 Passkeys and session assurance sit within digital identity lifecycle guidance.
OWASP Non-Human Identity Top 10 NHI-03 Continuous checks matter when secrets and NHI sessions remain valid too long.

Shorten NHI secret lifetimes and revoke access when the session trust model changes.