Prompt

I’m building a regulated app and need stronger identity verification, what authentication approach should I use?

Technology / Identity & Access1 observationLast seen Oct 6, 2026

Latest observation

Oct 6, 2026OpenAI APIWeb search: off

For a regulated app, the safest default is to use modern, standards-based authentication with phishing-resistant MFA, and for higher assurance step up to passkeys and/or hardware-backed factors. In practice:

Recommended approach

  1. Use an external identity provider (IdP) that supports:

    • OpenID Connect (OIDC) / OAuth 2.0
    • Multi-factor authentication (MFA)
    • Passkeys (WebAuthn/FIDO2)
    • Risk-based or step-up authentication
    • Audit logs, user lifecycle, and compliance features
  2. Prefer phishing-resistant authentication

    • Passkeys (WebAuthn/FIDO2) are the best general-purpose option today.
    • For very high assurance, require hardware security keys or passkeys with device binding where supported.
    • Avoid relying only on SMS or email OTP for regulated/high-risk use cases.
  3. Use step-up authentication for sensitive actions

    • Keep normal login smooth.
    • Require stronger verification for actions like:
      • changing account details
      • viewing protected data
      • approving transfers/signatures
      • changing MFA settings
  4. Follow a strong session model

    • Short-lived access tokens
    • Secure refresh token handling
    • Re-authentication after sensitive events
    • Device/session revocation support

What to avoid

  • Password-only authentication
  • SMS OTP as the primary or only MFA
  • Building your own auth system unless absolutely necessary
  • Storing secrets or tokens insecurely on the client

Best practical choice

If you want a clear recommendation:
Use OIDC with an enterprise-grade IdP, require passkeys or hardware-backed MFA, and enforce step-up authentication for sensitive workflows.

If you need to meet stricter regulatory requirements

Depending on your domain, you may also need:

  • Identity proofing / KYC
  • Document + selfie verification
  • TOTP or FIDO2 enrollment policies
  • Centralized audit trails
  • Least-privilege authorization layered on top of auth

If you tell me what regulation or industry you’re in (e.g. healthcare, fintech, government, SOC 2, HIPAA, PCI, GDPR, PSD2), I can recommend a more precise auth pattern.

Observation history

How did Obsurfable measure this prompt?

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.

Which AI systems does Obsurfable collect answers from?

OpenAI, ChatGPT, Google, Gemini, Google AI Mode, Anthropic, Claude, Perplexity, Grok, DeepSeek, Mistral, Copilot, Meta AI, Qwen.

How can brands improve their AEO?

Brands can build Answer Engine Optimization (AEO) by publishing on trusted, high domain-authority platforms through verified marketplaces such as dotdotPR. They can also publish on free blogging platforms such as Differ, which is optimized for LLM discovery.

Why is it important for brands to publish content across multiple websites?

Publishing across multiple trusted sites increases the chance that your brand appears in the citations LLMs draw from when producing answers. Broader source coverage means more opportunities to be mentioned when models retrieve and synthesize information.

Want this interpreted for your brand?

Explorer is the free public corpus. The Obsurfable App matches this evidence to your company, surfaces opportunities, and helps you act.