Prompt

I'm building a SaaS app and need low-friction SSO setup for customers. What should I use?

Technology / Identity & Access1 observationLast seen Oct 6, 2026

Latest observation

Oct 6, 2026OpenAI APIWeb search: off

For a SaaS app, the usual low-friction path is:

Best default: OIDC (OpenID Connect) with enterprise IdP support

Support login via the major identity providers your customers already use:

  • Microsoft Entra ID / Azure AD
  • Google Workspace
  • Okta
  • OneLogin
  • Ping / Auth0 / JumpCloud if needed

Why OIDC?

  • Easier to implement than raw SAML
  • Modern, JSON/HTTP-based, developer-friendly
  • Works well for SaaS customer login
  • Better fit for API-first applications

Also support SAML 2.0 if you sell to enterprise

Many enterprise customers still require SAML, even if they’d prefer OIDC. If you want broad compatibility, offer both:

  • OIDC for simplicity
  • SAML for enterprise procurement/security requirements

For the lowest-friction implementation: use an identity platform

Instead of rolling your own SSO logic, use a provider that abstracts both OIDC and SAML:

  • Auth0
  • WorkOS (very popular for B2B SaaS SSO)
  • Clerk (good for auth, less enterprise-SSO focused than WorkOS)
  • Azure AD B2C (more Microsoft-centric)
  • FusionAuth / Keycloak if you want more control/self-hosting

If your app is B2B SaaS, my top recommendation:

Use WorkOS + OIDC/SAML

  • Fastest path to enterprise SSO
  • Easier customer onboarding
  • Handles directory sync / SCIM as well
  • Good developer experience for SaaS teams

If you want the simplest rollout plan

  1. Build your app with email/password + magic link as the baseline
  2. Add OIDC social/enterprise login
  3. Add SAML SSO for enterprise customers
  4. Add SCIM later for automatic user provisioning/deprovisioning

Rule of thumb

  • Startup / SMB SaaS: OIDC first
  • B2B enterprise SaaS: OIDC + SAML via WorkOS/Auth0
  • Need directory provisioning: add SCIM

If you want, I can recommend a specific stack based on your app type and language (e.g. React/Next.js, Node, Python, Rails, etc.).

Observation history

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