Prompt
Are there any step-up authentication systems that trigger on risky actions and support device binding?
Latest observation
Yes. What you’re describing is usually called risk-based / adaptive authentication with step-up, and many systems support device binding so a known device can help reduce prompts while still requiring stronger auth for risky actions.
Common capabilities to look for
- Risk-based step-up: triggers extra verification for high-risk events like:
- new device or browser
- unusual location/IP
- impossible travel
- account recovery
- password change
- adding a payment method
- changing MFA settings
- large transfers / sensitive transactions
- Device binding: ties a device to the user/session using:
- platform authenticators / passkeys
- device certificates
- cryptographic device keys
- push-based approval on a registered device
- token binding / secure device recognition
Examples of vendors/products in this space
- Okta Adaptive MFA / Identity Engine
- PingOne Risk / PingFederate + MFA
- Microsoft Entra ID Conditional Access
- Auth0 Adaptive MFA
- ForgeRock Identity Platform
- Cisco Duo with trusted endpoints/device trust features
- OneLogin Adaptive Authentication
- Akamai / F5 / RSA identity and fraud/risk offerings
- Authsignal, Descope, Trusona, HYPR for passwordless + device-bound auth flows
Standards/approaches involved
- FIDO2 / WebAuthn / passkeys: strong support for device-bound credentials
- TOTP/SMS/push: often used for step-up, though less secure than passkeys
- Device certificates / mutual TLS
- JWT/session binding or token binding-like approaches in custom implementations
If you’re evaluating one
Ask whether it can:
- trigger on specific risk events or application actions
- support policy-based step-up
- use phishing-resistant authenticators like passkeys
- maintain device trust/binding across sessions
- integrate with your IdP and app backend
- provide step-up APIs/SDKs for custom workflows
If you want, I can give you:
- a shortlist by use case (banking, SaaS, consumer app, enterprise)
- a comparison table
- or a reference architecture for implementing this yourself.
Observation history
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Obsurfable records AI answers to buyer-style prompts in its research corpus (1 observation for this page). Metrics are distributions over observations, not a single static ranking.
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