How do you automate authentication testing with AI?
An AI agent runs your real login journeys – including the parts traditional tools can't, like opening an email or reading an SMS code – and verifies the user ends up authenticated. QA.tech gives the agent its own inbox and phone number, so magic links, one-time passwords and confirmation emails are tested end to end, not mocked.
Sub-use-cases
Magic link login
The agent triggers the magic-link email and reads it from its own provisioned inbox, then follows the link and verifies the authenticated session – all in one run. Traditional scripts can't open an inbox, which is why passwordless login usually goes untested or gets checked by hand before every release.
Email OTP
The agent requests the one-time code, reads it directly from the email body in its inbox, and enters it in the verification field to continue. Because the inbox is real and visible in the run, the OTP path is tested end to end rather than mocked.
SMS verification
A real phone number is provisioned for the test, receives the live SMS, and the agent extracts the code and uses it in the flow. This covers phone-gated signup, 2FA and account recovery that script-based tools simply can't reach.
Account confirmation email
The agent completes signup, receives the confirmation email in its inbox, clicks the activation link, and verifies the user lands on the expected onboarded state. A broken activation link blocks new users silently, so this closes a common churn gap before it costs you signups.
Forgot-password flow
The agent triggers the reset, opens the reset email, sets a new password, and confirms login works with the new credentials – a complete closed loop. Reset flows are rarely tested yet lock users out the moment they break.
Login error states
Beyond the happy path, the agent runs negative cases – wrong password, locked account, blank or malformed fields – and verifies the correct error appears and access is denied. These edge states are usually tested inconsistently, or not at all.
SSO and OAuth login
The agent handles single sign-on, OAuth and Google sign-in flows, completing the redirect handshake and verifying the authenticated return. Non-trivial auth like this is exactly what blocks teams from automating login in the first place.
TOTP / 2FA
The TOTP secret is stored in the credential config, so the agent generates the current code and completes two-factor login unattended. That lets 2FA-gated journeys run in regression like any other test.
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What an auth test should cover
Username/password login, invalid-credential and locked-account error states, magic-link sign-in, email and SMS one-time passwords, two-factor (TOTP), account-confirmation emails, password reset, and single sign-on (OAuth/SSO).
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How does AI handle logins, codes and links?
For an email or SMS flow, the agent triggers the action, receives the message in its provisioned inbox or number, extracts the code or link, continues, and confirms the authenticated state – in one uninterrupted test. TOTP secrets live in the credential config so 2FA runs unattended.
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When to run authentication tests
Before every release touching auth, and as a production smoke check – a broken login or reset link locks users out and churns them silently.
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Who needs auth-flow testing
SaaS using Clerk/Auth0/custom auth, fintech and healthcare portals with 2FA, and any product with email- or phone-gated access.
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How QA.tech helps
Email- and SMS-dependent flows are the single most common gap in traditional automation – scripts can't open an inbox. QA.tech closes it by giving the agent real message access, so passwordless and 2FA journeys are testable on every build.
FAQ
Common questions
- How do you test a passwordless or magic-link login automatically?
- The agent reads the link from its own provisioned inbox and follows it in the same run – no manual step.
- Can AI test OTP and SMS verification codes?
- Yes – email OTPs are read from the agent's inbox; SMS codes from a provisioned phone number.
- Should I use a real user account?
- Use a dedicated AI test account, not personal credentials, so human and agent activity stay distinguishable in your logs.
Related use cases
Account & Profile Settings Testing
An AI agent runs every settings action a user can take – update profile fields, change email and password, upload an avatar, toggle preferences – then verifies the changes persist after a refresh. Settings pages look simple but touch storage, auth and email, so they regress quietly.
ReadAutomated Accessibility (WCAG) Testing
Every QA.tech test run automatically checks for WCAG accessibility issues and logs them alongside functional findings – so accessibility coverage happens as a byproduct of testing you already do, with no separate tool or configuration.
ReadBulk Actions Testing
An AI agent selects multiple items, triggers a bulk action – delete, export, status change – and verifies the outcome across the selection. Bulk operations are high-stakes and usually tested by hand, infrequently.
Read
AI Test Generation
Next →Automated Accessibility (WCAG) Testing
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